{"id":22522,"date":"2026-07-16T13:30:24","date_gmt":"2026-07-16T11:30:24","guid":{"rendered":"https:\/\/www.neuraldesigner.com\/use-cases\/medical-treatment\/"},"modified":"2026-07-16T13:47:18","modified_gmt":"2026-07-16T11:47:18","slug":"medical-treatment","status":"publish","type":"page","link":"https:\/\/www.neuraldesigner.com\/use-cases\/medical-treatment\/","title":{"rendered":"Medical treatment using machine learning"},"content":{"rendered":"

Introduction<\/h2>\n

Medical treatment uses tools for working with randomized controlled trial data, where we only observe what happens to a patient if they’ve got treatment,\u00a0and we want to know what would happen to the patient if they had not received the treatment and vice versa.<\/p>\n

Machine learning allows us to build models that associate a broad range of variables with the effect of a treatment on individual patients.<\/p>\n

The data science and machine learning platform Neural Designer<\/a> combines different data types into a single model to better diagnose diseases.<\/section>\n

Contents<\/h2>\n


\n1. Objectives
\n<\/a>
\n
\n2. Benefits
\n<\/a>
\n
\n3. Approach
\n<\/a>
\n
\n4. Conclusions
\n<\/a><\/p>\n

1. Objectives<\/h2>\n

Medical treatment aims to assess which tools better fit each patient to survive the disease. Besides, the objective is to determine one or more treatments, whether we want to avoid acquiring a disease or condition, suffer from symptoms, have caught a cold or the flu, have developed diabetes or cancer, or have injured yourself in an accident. All of these require treatments.<\/p>\n

\"\"<\/p>\n

Thankfully, a large amount of data is currently available to clinicians, ranging from details of clinical symptoms to various types of biochemical assays and outputs of imaging devices.<\/p>\n

We put up a model to predict the best type of treatment. These are some examples of types of data that could be useful to make a proper medical treatment using machine learning:<\/p>\n