The power of machine learning for analyzing health data will empower physicians and speed-up decision making in the clinic. Here some worked examples in the health & care industry are provided.
Diagnose the presence of breast cancer
from digitized images of cell nuclei.
Predict the Parkinson's disease
symptom score on the UPDRS scale.
Create a model that can predict which
people are more likely to donate blood.
Diagnose the urinary bladder using
a dataset from a medical expert.
Diagnose the type of leukemia
using DNA coding.
Predict the vascular adhesion of nano
particles from their wall shear rate.
Recognize human activities in real life
situations through activity recognition.