Resource

Toolkits

PyHealth: https://github.com/zzachw/PyHealth

PyHealth is a comprehensive Python package for healthcare AI, designed for both ML researchers and healthcare and medical practitioners. PyHealth accepts diverse healthcare data such as longitudinal electronic health records (EHRs), continuous signials (ECG, EEG), and clinical notes (to be added), and supports various predictive modeling methods using deep learning and other advanced machine learning algorithms published in the literature.

The library is proudly developed and maintained by researchers from Carnegie Mellon University, IQVIA, and University of Illinois at Urbana-Champaign. PyHealth makes many important healthcare tasks become accessible, such as phenotyping prediction, mortality prediction, and ICU length stay forecasting, etc. Running these prediction tasks with deep learning models can be as short as 10 lines of code in PyHealth.

Past Guest Lectures

One may find the recent guest lectures recorded at this LINK with the following playlist.

  1. Stewart, Walter from Sutter Health. How Do We Accelerate Data Driven Health Care? (April 19, 2018)
  2. Swamidass, S. Joshua from Washington University in St. Louis. Translating from Chemistry to Clinic with Deep Learning: Modeling the Metabolism and Subsequent Reactivity of Drugs (April 12, 2018)
  3. Cooper, Gregory from Univ. of Pittsburgh. Causal Network Discovery from Biomedical and Clinical Data (April 5, 2018)
  4. James M. Rehg from School of Interactive Computing, GT. Big Data in Behavioral Medicine. (Mar 6, 2018)
  5. David Page from Univ. of Wisconsin-Madison. ML from EHR: High-Throughput Prediction, Insights into Causation. (Feb 27, 2018)
  6. Ioakeim (Kimis) Perros from SunLab. Unsupervised Phenotyping using Tensor Factoriztion. (Feb 20, 2018)
  7. Jon Duke from Georgia Tech Research Institute. Precision Medicine at Georgia Tech: Introduction to the Health Data Analytics Platform. (Feb 6, 2018)
  8. Rachel Patzer from Emory Univ. Predicting Hospital Readmissions Among Kidney Transplant Recipients. (Feb 13, 2018)
  9. Chunhua Weng from Columbia Univ. Using Electronic Health Records Data to Support Patient Care and Clinical Research. (Jan 30, 2018)
  10. Jon Duke from Regenstrief Institute. Phenotyping on OHDSI. [Video] (Jan 24, 2017)
  11. Jon Duke from Regenstrief Institute. NLP in Health Data Analytics. [Video] (Jan 31, 2017)