This course is designed for students having wide range of background like biology, medical science, pharmacology, bioinformatics,
computer science. This course is divided in following three sections; i) Major challenges in the field of biomedical science, ii)
Introduction /implementation of machine learning techniques for developing prediction models, and iii) solving biomedical problems using machine learning techniques. This course will be help students in developing novel methods for solving real-life problems in the field of biological and health sciences. Attempt will made to bridge gap between students and world class researchers, studentds will be
exposed to highly accurate methods based on machine learning techniques (research papers).
Understanding prediction/ classification/ clustering realated
challenges in biomedical and health science.
How to develop prediction models using major learning
techniques like SVM, ANN, Random Forest, KNN
Generating features for biomolecules and biomedical images. Selecting best features/dimension reduction/PCA for developing models
Measuring performance of methods and cross-validation techniques for in silico valiadtion of methods.