HST.953 Collaborative Data Science in Medicine


Class Info

A guide for data scientists, engineers, and clinicians who are interested in performing retrospective research using data from electronic health records. Instruction provided in clinical decision-making and secondary use of clinical data, using the Medical Information Mart for Intensive Care (MIMIC) database and the eICU Collaborative Research Database. Covers steps in parsing a clinical question into a study design and methodology for data analysis and interpretation. Activities include review of case studies using the MIMIC and the eICU Collaborative Research Database and a team project. Student teams choose a question and clinician to work with for their project. Teams meet weekly with clinicians at the hospitals at arranged time.

This class has no prerequisites.

HST.953 will not be offered this semester. It will be available in the Fall semester, and will be instructed by L. A. Celi, J. Raffa, T. Pollard and A. Johnson.

Lecture occurs 9:00 AM to 12:00 PM on Fridays in E25-117.

This class counts for a total of 12 credits.

You can find more information at the 2017.HST.953: Collaborative Data Science in Medicine – Critical Data site or on the HST.953 Stellar site.

Required Textbooks
Save up to a ton by purchasing through MIT Textbooks!
MIT HST.953 Collaborative Data Science in Medicine Related Textbooks
MIT HST.953 Collaborative Data Science in Medicine On The Web

© Copyright 2015