Massachusetts Institute of Technology

  • Machine Learning for Healthcare, Spring 2017
    6.S897, HST.S53

    Course description: Explores machine learning methods for clinical and healthcare applications. Covers concepts of algorithmic fairness, interpretability, and causality. Discusses application of time-series analysis, graphical models, deep learning and transfer learning methods to solving problems in healthcare. Considers how newly emerging machine learning techniques will shape healthcare policy and personalized medicine.

New York University