{"id":3467,"date":"2025-09-03T11:13:00","date_gmt":"2025-09-03T09:13:00","guid":{"rendered":"https:\/\/neuraldesigner.com\/learning\/blood-donation-campaign\/"},"modified":"2026-02-11T11:32:52","modified_gmt":"2026-02-11T10:32:52","slug":"blood-donors-targeting","status":"publish","type":"learning","link":"https:\/\/www.neuraldesigner.com\/learning\/examples\/blood-donors-targeting\/","title":{"rendered":"Target blood donors using machine learning"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"3467\" class=\"elementor elementor-3467\" data-elementor-post-type=\"learning\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9e440be e-grid e-con-boxed e-con e-parent\" data-id=\"9e440be\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7e901d8 elementor-widget elementor-widget-heading\" data-id=\"7e901d8\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Introduction<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f146326 elementor-widget elementor-widget-text-editor\" data-id=\"f146326\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<section>\n<p data-start=\"113\" data-end=\"351\" style=\"text-align: justify;\">Machine learning models for blood donation prediction can help healthcare organizations improve donor recruitment and optimize campaigns.<\/p>\n<p data-start=\"113\" data-end=\"351\" style=\"text-align: justify;\">Since reaching donors remains a challenge, a neural network trained on features such as recency, frequency, and time since the first donation.<\/p>\n<p data-start=\"113\" data-end=\"351\" style=\"text-align: justify;\">Using data from the Blood Transfusion Service Center in Hsin-Chu City, Taiwan, the model achieved an AUC of 0.714 and 63.8% of accuracy, demonstrating strong potential as a predictive support tool for donor behavior.<\/p>\n\n<\/section><section><\/section>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-32a9d10 elementor-widget elementor-widget-text-editor\" data-id=\"32a9d10\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: justify;\">Healthcare professionals can test this methodology by downloading Neural Designer.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-8d84312 e-con-full e-flex e-con e-child\" data-id=\"8d84312\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ac7cd56 elementor-align-center elementor-widget__width-initial boton_descarga elementor-widget-mobile__width-initial elementor-widget elementor-widget-button\" data-id=\"ac7cd56\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/www.neuraldesigner.com\/downloads\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon\">\n\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-download\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M216 0h80c13.3 0 24 10.7 24 24v168h87.7c17.8 0 26.7 21.5 14.1 34.1L269.7 378.3c-7.5 7.5-19.8 7.5-27.3 0L90.1 226.1c-12.6-12.6-3.7-34.1 14.1-34.1H192V24c0-13.3 10.7-24 24-24zm296 376v112c0 13.3-10.7 24-24 24H24c-13.3 0-24-10.7-24-24V376c0-13.3 10.7-24 24-24h146.7l49 49c20.1 20.1 52.5 20.1 72.6 0l49-49H488c13.3 0 24 10.7 24 24zm-124 88c0-11-9-20-20-20s-20 9-20 20 9 20 20 20 20-9 20-20zm64 0c0-11-9-20-20-20s-20 9-20 20 9 20 20 20 20-9 20-20z\"><\/path><\/svg>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Download<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0775b38 elementor-widget elementor-widget-heading\" data-id=\"0775b38\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Contents<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a59182e elementor-widget elementor-widget-text-editor\" data-id=\"a59182e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: justify;\">The following index outlines the steps for performing the analysis.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-ef82ae2 e-grid e-con-full e-con e-child\" data-id=\"ef82ae2\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4efdc55 elementor-align-center elementor-widget elementor-widget-button\" data-id=\"4efdc55\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"#modeltype\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">1.Model type<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b8817a3 elementor-align-center elementor-widget elementor-widget-button\" data-id=\"b8817a3\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"#dataset\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">2.Dataset<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-73ef470 elementor-align-center elementor-widget elementor-widget-button\" data-id=\"73ef470\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"#neural_network\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">3.Neural network<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-df5d562 elementor-align-center elementor-widget elementor-widget-button\" data-id=\"df5d562\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"#training_strategy\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">4.Training strategy<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5431756 elementor-align-center elementor-widget elementor-widget-button\" data-id=\"5431756\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"#testing_analysis\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">5.Testing analysis<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-33a39eb elementor-align-center elementor-widget elementor-widget-button\" data-id=\"33a39eb\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"#model_deployment\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">6.Model deployment<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2722f53 elementor-widget elementor-widget-heading\" data-id=\"2722f53\" data-element_type=\"widget\" id=\"modeltype\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">1. Model type<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9440031 elementor-widget elementor-widget-text-editor\" data-id=\"9440031\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<ul>\n \t<li data-start=\"46\" data-end=\"114\" style=\"text-align: justify;\"><strong data-start=\"46\" data-end=\"63\">Problem type:<\/strong> Binary <a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/neural-networks-applications#Classification\">classification<\/a> (blood donor or non-donor)<\/li>\n \t<li data-start=\"46\" data-end=\"114\" style=\"text-align: justify;\"><strong data-start=\"116\" data-end=\"125\">Goal:<\/strong> Model the probability of donating blood based on individual features to support decision-making using artificial intelligence and machine learning.<\/li>\n<\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7afafa7 elementor-widget elementor-widget-heading\" data-id=\"7afafa7\" data-element_type=\"widget\" id=\"dataset\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">2. Data set<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-72c0162 elementor-widget elementor-widget-text-editor\" data-id=\"72c0162\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<h3>Data source<\/h3>\n<p style=\"text-align: justify;\">The blood_donation.csv dataset contains 748 instances and 4 variables used to build the model.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f0cba24 e-con-full e-flex e-con e-child\" data-id=\"f0cba24\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-25cfc40 elementor-widget__width-initial boton_descarga elementor-widget-mobile__width-initial elementor-widget elementor-widget-button\" data-id=\"25cfc40\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/www.neuraldesigner.com\/wp-content\/uploads\/2025\/09\/blood_donation-2.csv\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon\">\n\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-file-download\" viewBox=\"0 0 384 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M224 136V0H24C10.7 0 0 10.7 0 24v464c0 13.3 10.7 24 24 24h336c13.3 0 24-10.7 24-24V160H248c-13.2 0-24-10.8-24-24zm76.45 211.36l-96.42 95.7c-6.65 6.61-17.39 6.61-24.04 0l-96.42-95.7C73.42 337.29 80.54 320 94.82 320H160v-80c0-8.84 7.16-16 16-16h32c8.84 0 16 7.16 16 16v80h65.18c14.28 0 21.4 17.29 11.27 27.36zM377 105L279.1 7c-4.5-4.5-10.6-7-17-7H256v128h128v-6.1c0-6.3-2.5-12.4-7-16.9z\"><\/path><\/svg>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Download Dataset<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e9f60d6 elementor-widget elementor-widget-heading\" data-id=\"e9f60d6\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Variables<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-276b0b6 elementor-widget elementor-widget-text-editor\" data-id=\"276b0b6\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: justify;\">The following list summarizes the variables&#8217; information:<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-80a6b1d elementor-widget elementor-widget-heading\" data-id=\"80a6b1d\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Donor history<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-400f3eb elementor-widget elementor-widget-text-editor\" data-id=\"400f3eb\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<ul data-start=\"326\" data-end=\"441\">\n \t<li data-start=\"326\" data-end=\"384\" style=\"text-align: justify;\">\n<p data-start=\"328\" data-end=\"384\"><strong data-start=\"328\" data-end=\"348\">recency (months)<\/strong> \u2013 Months since the last donation.<\/p>\n<\/li>\n \t<li data-start=\"385\" data-end=\"441\" style=\"text-align: justify;\">\n<p data-start=\"387\" data-end=\"441\"><strong data-start=\"387\" data-end=\"404\">time (months)<\/strong> \u2013 Months since the first donation.<\/p>\n<\/li>\n<\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6058ef1 elementor-widget elementor-widget-heading\" data-id=\"6058ef1\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Donation behavior<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1da52c4 elementor-widget elementor-widget-text-editor\" data-id=\"1da52c4\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<ul data-start=\"467\" data-end=\"652\">\n \t<li data-start=\"467\" data-end=\"521\">\n<p data-start=\"469\" data-end=\"521\" style=\"text-align: justify;\"><strong data-start=\"469\" data-end=\"490\">frequency (count)<\/strong> \u2013 Total number of donations.<\/p>\n<\/li>\n<\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-df9ebed elementor-widget elementor-widget-heading\" data-id=\"df9ebed\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Target variable<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-67175a8 elementor-widget elementor-widget-text-editor\" data-id=\"67175a8\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<ul>\n \t<li style=\"text-align: justify;\"><strong data-start=\"678\" data-end=\"699\">donation (yes or no)<\/strong> \u2013 Did the person donate in the last campaign?<\/li>\n<\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f6def4e elementor-widget elementor-widget-text-editor\" data-id=\"f6def4e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<h3>Instances<\/h3>\n<p style=\"text-align: justify;\">The dataset\u2019s\u00a0<a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/data-set#Instances\">instances<\/a> are split into training (60%), validation (20%), and testing (20%) subsets by default.<\/p>\n\n<p style=\"text-align: justify;\">You can adjust them as needed.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b2d3179 elementor-widget elementor-widget-text-editor\" data-id=\"b2d3179\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<h3>Variables distribution<\/h3>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-367ef39 elementor-widget elementor-widget-text-editor\" data-id=\"367ef39\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: justify;\">Variable <a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/data-set#Distributions\">distributions<\/a> can be calculated; the figure shows the number of donations (1) versus non-donations (0) in the dataset.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c6d34a9 elementor-widget elementor-widget-image\" data-id=\"c6d34a9\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"505\" height=\"380\" src=\"https:\/\/www.neuraldesigner.com\/wp-content\/uploads\/2025\/09\/donation-pie-chart-1.png\" class=\"attachment-large size-large wp-image-19690\" alt=\"\" srcset=\"https:\/\/www.neuraldesigner.com\/wp-content\/uploads\/2025\/09\/donation-pie-chart-1.png 505w, https:\/\/www.neuraldesigner.com\/wp-content\/uploads\/2025\/09\/donation-pie-chart-1-300x226.png 300w\" sizes=\"(max-width: 505px) 100vw, 505px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-94df4b5 elementor-widget elementor-widget-text-editor\" data-id=\"94df4b5\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: justify;\">As depicted in the image, donations represent 76.2% of the samples, and no donations represent approximately 23.8%.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-200ae10 elementor-widget elementor-widget-text-editor\" data-id=\"200ae10\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<h3>Input-target correlations<\/h3>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cc15a37 elementor-widget elementor-widget-text-editor\" data-id=\"cc15a37\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: justify;\">The <a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/data-set#InputsTargetsCorrelations\">input-target correlations<\/a> indicate which factors most influence whether a person would donate blood and, therefore, are more relevant to our analysis.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-747558e elementor-widget elementor-widget-image\" data-id=\"747558e\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"538\" height=\"291\" src=\"https:\/\/www.neuraldesigner.com\/wp-content\/uploads\/2025\/09\/donation-Pearson-correlations-chart-1.png\" class=\"attachment-large size-large wp-image-18724\" alt=\"\" srcset=\"https:\/\/www.neuraldesigner.com\/wp-content\/uploads\/2025\/09\/donation-Pearson-correlations-chart-1.png 538w, https:\/\/www.neuraldesigner.com\/wp-content\/uploads\/2025\/09\/donation-Pearson-correlations-chart-1-300x162.png 300w\" sizes=\"(max-width: 538px) 100vw, 538px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-83d6365 elementor-widget elementor-widget-text-editor\" data-id=\"83d6365\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: justify;\">Here, the most correlated variables with blood donation are <b>recency <\/b>and\u00a0<b>frequency.<\/b><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9f47a7d elementor-widget elementor-widget-heading\" data-id=\"9f47a7d\" data-element_type=\"widget\" id=\"neural_network\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">3. Neural network<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-50d9e00 elementor-widget elementor-widget-text-editor\" data-id=\"50d9e00\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: justify;\">A neural network, inspired by the human brain, takes input variables and outputs the probability of blood donation.<\/p>\n\n<p style=\"text-align: justify;\">Trained on historical data, the network learns patterns that support decision-making.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d17da77 elementor-widget elementor-widget-image\" data-id=\"d17da77\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"609\" height=\"290\" src=\"https:\/\/www.neuraldesigner.com\/wp-content\/uploads\/2025\/09\/Network-architecture-3.png\" class=\"attachment-large size-large wp-image-18981\" alt=\"\" srcset=\"https:\/\/www.neuraldesigner.com\/wp-content\/uploads\/2025\/09\/Network-architecture-3.png 609w, https:\/\/www.neuraldesigner.com\/wp-content\/uploads\/2025\/09\/Network-architecture-3-300x143.png 300w, https:\/\/www.neuraldesigner.com\/wp-content\/uploads\/2025\/09\/Network-architecture-3-600x286.png 600w\" sizes=\"(max-width: 609px) 100vw, 609px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4a272be elementor-widget elementor-widget-text-editor\" data-id=\"4a272be\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: justify;\">The network uses three donor variables to output the probability of blood donation, with connections showing each variable\u2019s contribution.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8078e9f elementor-widget elementor-widget-heading\" data-id=\"8078e9f\" data-element_type=\"widget\" id=\"training_strategy\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">4. Training strategy<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-863b564 elementor-widget elementor-widget-text-editor\" data-id=\"863b564\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: justify;\">Training a neural network uses a loss function to measure errors and an optimization algorithm to adjust the model, ensuring it learns from data while generalizing well to new cases.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-876e5cc elementor-widget elementor-widget-image\" data-id=\"876e5cc\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"800\" height=\"424\" src=\"https:\/\/www.neuraldesigner.com\/wp-content\/uploads\/2025\/09\/Quasi-Newton-method-errors-history-4.png\" class=\"attachment-large size-large wp-image-18982\" alt=\"\" srcset=\"https:\/\/www.neuraldesigner.com\/wp-content\/uploads\/2025\/09\/Quasi-Newton-method-errors-history-4.png 980w, https:\/\/www.neuraldesigner.com\/wp-content\/uploads\/2025\/09\/Quasi-Newton-method-errors-history-4-300x159.png 300w, https:\/\/www.neuraldesigner.com\/wp-content\/uploads\/2025\/09\/Quasi-Newton-method-errors-history-4-768x408.png 768w, https:\/\/www.neuraldesigner.com\/wp-content\/uploads\/2025\/09\/Quasi-Newton-method-errors-history-4-600x318.png 600w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-650eedf elementor-widget elementor-widget-text-editor\" data-id=\"650eedf\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: justify;\">The model trained stably on new data, with steadily decreasing <strong>training<\/strong> and <strong>selection<\/strong> errors (<strong>0.777<\/strong> and <strong>0.847<\/strong>).<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8c13827 elementor-widget elementor-widget-heading\" data-id=\"8c13827\" data-element_type=\"widget\" id=\"testing_analysis\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">5. Testing analysis<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7b13749 elementor-widget elementor-widget-text-editor\" data-id=\"7b13749\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: justify;\">The objective of the <a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/testing-analysis\">testing analysis<\/a> is to validate the performance of the trained neural network.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-59aa6a1 elementor-widget elementor-widget-heading\" data-id=\"59aa6a1\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">ROC curve<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c2b08c1 elementor-widget elementor-widget-text-editor\" data-id=\"c2b08c1\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: justify;\">The\u00a0<a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/testing-analysis#RocCurve\">ROC curve<\/a> is a standard tool to evaluate a classification model, showing how well it distinguishes between two classes by comparing predicted results with actual outcomes.<\/p>\n\n<p style=\"text-align: justify;\">A random classifier scores 0.5, while a perfect classifier scores 1.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b6c002d elementor-widget elementor-widget-image\" data-id=\"b6c002d\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"540\" height=\"540\" src=\"https:\/\/www.neuraldesigner.com\/wp-content\/uploads\/2025\/09\/ROC-chart-4.png\" class=\"attachment-large size-large wp-image-18983\" alt=\"\" srcset=\"https:\/\/www.neuraldesigner.com\/wp-content\/uploads\/2025\/09\/ROC-chart-4.png 540w, https:\/\/www.neuraldesigner.com\/wp-content\/uploads\/2025\/09\/ROC-chart-4-300x300.png 300w, https:\/\/www.neuraldesigner.com\/wp-content\/uploads\/2025\/09\/ROC-chart-4-150x150.png 150w, https:\/\/www.neuraldesigner.com\/wp-content\/uploads\/2025\/09\/ROC-chart-4-100x100.png 100w, https:\/\/www.neuraldesigner.com\/wp-content\/uploads\/2025\/09\/ROC-chart-4-120x120.png 120w\" sizes=\"(max-width: 540px) 100vw, 540px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7c149f3 elementor-widget elementor-widget-text-editor\" data-id=\"7c149f3\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: justify;\">The <strong>AUC<\/strong> obtained is <strong>0.714<\/strong>, showing that the model performs well at distinguishing between donors and non-donors.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-841454f elementor-widget elementor-widget-heading\" data-id=\"841454f\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Confusion matrix<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c33eb4f elementor-widget elementor-widget-text-editor\" data-id=\"c33eb4f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: justify;\">The <a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/testing-analysis#ConfusionMatrix\">confusion matrix<\/a> evaluates the model\u2019s performance by comparing predicted and actual outcomes:<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5b0c1f9 elementor-widget elementor-widget-text-editor\" data-id=\"5b0c1f9\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<ul>\n \t<li data-start=\"225\" data-end=\"283\" style=\"text-align: justify;\">\n<p data-start=\"227\" data-end=\"283\"><strong>True positives:<\/strong> donors correctly classified as donors.<\/p>\n<\/li>\n \t<li data-start=\"284\" data-end=\"349\" style=\"text-align: justify;\">\n<p data-start=\"286\" data-end=\"349\"><strong>False positives:<\/strong> non-donors incorrectly classified as donors.<\/p>\n<\/li>\n \t<li data-start=\"350\" data-end=\"415\" style=\"text-align: justify;\">\n<p data-start=\"352\" data-end=\"415\"><strong>False negatives:<\/strong> donors incorrectly classified as non-donors.<\/p>\n<\/li>\n \t<li data-start=\"416\" data-end=\"482\" style=\"text-align: justify;\">\n<p data-start=\"418\" data-end=\"482\"><strong>True negatives:<\/strong> non-donors correctly classified as non-donors.<\/p>\n<\/li>\n<\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f3d6c40 elementor-widget elementor-widget-text-editor\" data-id=\"f3d6c40\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: justify;\">For a decision threshold of 0.5, the confusion matrix was:<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-55a2702 e-con-full e-flex e-con e-child\" data-id=\"55a2702\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-bb80d97 elementor-widget elementor-widget-text-editor\" data-id=\"bb80d97\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<table class=\"mi-tabla\" style=\"margin: auto; display: table; border-collapse: collapse;\"><tbody><tr><th>\u00a0<\/th><th>Predicted positive<\/th><th>Predicted negative<\/th><\/tr><tr><th style=\"text-align: left;\">Real positive<\/th><td style=\"text-align: right;\">27<\/td><td style=\"text-align: right;\">11<\/td><\/tr><tr><th style=\"text-align: left;\">Real negative<\/th><td style=\"text-align: right;\">46<\/td><td style=\"text-align: right;\">65<\/td><\/tr><\/tbody><\/table>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8ebf2d9 elementor-widget elementor-widget-text-editor\" data-id=\"8ebf2d9\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: justify;\">In this case, <strong>61.74%<\/strong>\u00a0of cases were\u00a0<strong>correctly classified<\/strong>\u00a0and\u00a0\u00a0<strong>38.26%<\/strong> were m<strong>isclassified<\/strong>.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b27a316 elementor-widget elementor-widget-heading\" data-id=\"b27a316\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Binary classification<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8b47344 elementor-widget elementor-widget-text-editor\" data-id=\"8b47344\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: justify;\">The performance of this\u00a0<a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/testing-analysis#BinaryClassificationTests\">binary classification<\/a>\u00a0model is summarized with standard measures:<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cfed166 elementor-widget elementor-widget-text-editor\" data-id=\"cfed166\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<ul>\n \t<li data-start=\"221\" data-end=\"281\" style=\"text-align: justify;\">\n<p data-start=\"223\" data-end=\"281\"><strong data-start=\"223\" data-end=\"236\">Accuracy:<\/strong> 63.8% of cases were correctly classified.<\/p>\n<\/li>\n \t<li data-start=\"282\" data-end=\"335\" style=\"text-align: justify;\">\n<p data-start=\"284\" data-end=\"335\"><strong data-start=\"284\" data-end=\"299\">Error rate:<\/strong> 36.2% of cases were misclassified.<\/p>\n<\/li>\n \t<li data-start=\"336\" data-end=\"408\" style=\"text-align: justify;\">\n<p data-start=\"338\" data-end=\"408\"><strong data-start=\"338\" data-end=\"354\">Sensitivity:<\/strong> 63.2% of donors were correctly identified.<\/p>\n<\/li>\n \t<li data-start=\"409\" data-end=\"477\" style=\"text-align: justify;\">\n<p data-start=\"411\" data-end=\"477\"><strong data-start=\"411\" data-end=\"427\">Specificity:<\/strong> 64% of non-donors were correctly identified.<\/p>\n<\/li>\n<\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bf05567 elementor-widget elementor-widget-text-editor\" data-id=\"bf05567\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: justify;\">The model performs moderately at detecting donors and better at identifying non-donors.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-08ad987 elementor-widget elementor-widget-heading\" data-id=\"08ad987\" data-element_type=\"widget\" id=\"model_deployment\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">6. Model deployment<\/h2>\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-7759715 e-con-full e-flex e-con e-child\" data-id=\"7759715\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c31b45c elementor-widget elementor-widget-text-editor\" data-id=\"c31b45c\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: justify;\">After confirming the neural network\u2019s ability to generalize, the model can be saved for future use in deployment mode.<\/p>\n\n<p style=\"text-align: justify;\">This allows the trained network to be applied to new individuals, using their clinical and demographic variables to calculate the probability that a person will donate blood.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d8e3e11 elementor-widget elementor-widget-html\" data-id=\"d8e3e11\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t\t<iframe src=\"https:\/\/www.neuraldesigner.com\/wp-content\/uploads\/2025\/10\/blood_donation_model.html\" height=\"600\" style=\"border:none;\"><\/iframe>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7cc98b2 elementor-widget elementor-widget-text-editor\" data-id=\"7cc98b2\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: justify;\">In deployment mode, healthcare professionals can use the model as a reliable diagnostic support tool for classifying new patients.<\/p><p style=\"text-align: justify;\">The\u00a0<a href=\"https:\/\/www.neuraldesigner.com\/downloads\">Neural Designer<\/a>\u00a0software exports the trained model automatically, making it easy to integrate into clinical practice.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-d63dbf4 e-grid e-con-full e-con e-child\" data-id=\"d63dbf4\" data-element_type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-28aaa59 e-con-full e-flex e-con e-child\" data-id=\"28aaa59\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6dd904e elementor-align-center elementor-widget__width-initial boton_descarga elementor-widget-mobile__width-initial elementor-widget elementor-widget-button\" data-id=\"6dd904e\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/www.neuraldesigner.com\/downloads\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon\">\n\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-download\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M216 0h80c13.3 0 24 10.7 24 24v168h87.7c17.8 0 26.7 21.5 14.1 34.1L269.7 378.3c-7.5 7.5-19.8 7.5-27.3 0L90.1 226.1c-12.6-12.6-3.7-34.1 14.1-34.1H192V24c0-13.3 10.7-24 24-24zm296 376v112c0 13.3-10.7 24-24 24H24c-13.3 0-24-10.7-24-24V376c0-13.3 10.7-24 24-24h146.7l49 49c20.1 20.1 52.5 20.1 72.6 0l49-49H488c13.3 0 24 10.7 24 24zm-124 88c0-11-9-20-20-20s-20 9-20 20 9 20 20 20 20-9 20-20zm64 0c0-11-9-20-20-20s-20 9-20 20 9 20 20 20 20-9 20-20z\"><\/path><\/svg>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Download<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-742d05d elementor-widget elementor-widget-heading\" data-id=\"742d05d\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Conclusions<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-dc11104 elementor-widget elementor-widget-text-editor\" data-id=\"dc11104\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: justify;\">The blood donation prediction model achieved an <strong>AUC<\/strong> of <strong>0.714\u00a0<\/strong>and\u00a0<strong>63.8%<\/strong> of accuracy.<\/p>\n\n<p style=\"text-align: justify;\">Recency, frequency, and time since first donation were the most influential features, reflecting known donor behavior.<\/p>\n\n<p style=\"text-align: justify;\">This neural network can support healthcare organizations in identifying potential donors and improving recruitment efficiency.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-82fe9b8 elementor-widget elementor-widget-heading\" data-id=\"82fe9b8\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">References<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a394c23 elementor-widget elementor-widget-text-editor\" data-id=\"a394c23\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<ul>\n \t<li style=\"text-align: justify;\">The data for this problem has been taken from the <a href=\"https:\/\/archive.ics.uci.edu\/ml\/datasets\/Blood+Transfusion+Service+Center\">UCI Machine Learning Repository<\/a>.<\/li>\n \t<li style=\"text-align: justify;\">Yeh, I-Cheng, Yang, King-Jang, and Ting, Tao-Ming, &#8220;<a href=\"https:\/\/dl.acm.org\/citation.cfm?id=1498365\">Knowledge discovery on RFM model using Bernoulli sequence<\/a>&#8220;, Expert Systems with Applications, 2008.<\/li>\n \t<li style=\"list-style-type: none;\"><\/li>\n<\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0926444 elementor-widget elementor-widget-heading\" data-id=\"0926444\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Related posts<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"author":13,"featured_media":2543,"template":"","categories":[29],"tags":[38],"class_list":["post-3467","learning","type-learning","status-publish","has-post-thumbnail","hentry","category-examples","tag-healthcare"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Target blood donors using machine learning<\/title>\n<meta name=\"description\" content=\"Use machine learning to target blood donors using a recency, frequency, monetary, and time marketing model (RFMT).\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.neuraldesigner.com\/learning\/examples\/blood-donors-targeting\/\" \/>\n<meta property=\"og:locale\" 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