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 be offered this semester (Fall 2017). It is 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 MIT + HST.953 - Google Search site or on the HST.953 Stellar site.

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