In this course you will learn about aspects of information processing including data preprocessing, visualization, regression, dimensionality reduction (PCA, ICA), feature selection, classification (LR, SVM, NN) and their usage for decision support in the context of healthcare. The course aims to provide an overview of computer tools and machine learning techniques for dealing with medical datasets (time series and images). The course is practical with computer based tutorials and assignments. The necessary theory will be covered.
Students will acquire the following skills
The course material can also be found at our public Github repository
Joachim Behar, PhD
Moran Davoodi
PhD candidate
Yuval Ben Sason
MSc candidate
Kevin Kotzen
MSc candidate
Anne Weill, PhD
Technion, BME
Danny Eytan, MD-PhD
Rambam Hospital