Biomedical Text Mining I by Sudeshna Sarkar

This course aims to introduce machine learning experts to data-based problems in healthcare and familiarize clinical practitioners with tools for analyzing their own data. The course will cover various machine learning techniques such as logistic regression, tree-based methods, support vector machines, Bayesian methods, and deep networks, with a focus on their applications in biomedicine and health. The teaching method includes examples of applying these techniques to predict patient outcomes, analyze patient data like X-rays and genomic variants, and infer patterns in large-scale data. The intended audience includes PhD students in STEM fields, medical students, postdoctoral fellows, faculty, and professionals in science, engineering, and medicine.