In this course, we aim to offer a perspective on advanced machine learning techniques necessary to address current learning problems in healthcare. Among them, we highlight the following:
1. Multi-view and heterogeneous probabilistic models.
2. Probabilistic models for time series.
3. Point processes.
4. Implicit models based on neural networks.
These techniques will be illustrated in relevant healthcare problems such as computational psychiatry, microbiology, omics data treatment, and electronic health record analysis, among others.