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HST 953
Collaborative Data Science in Medicine

Term: Fall

Time:
Lecture: F 9am-12pm; Recitation: F 1-5pm
Location:
MIT: E25-117
Course Website:
None
Prerequisite:
None
Restrictions:
None
MIT Units:
3-0-9 (G-Level Credit)
Harvard Units:
N/A
A guide for students who are interested in performing retrospective research using data from electronic health records (Medical Information Mart for Intensive Care or MIMIC database and the eICU Collaborative Research Database). The course covers steps in parsing a clinical question into a study design and methodology for data analysis and interpretation, but the emphasis is on the data curation that is required before any analysis can be performed. Understanding and navigating the databases require working closely with those who work is in the intensive care unit, and are much more challenging than the statistics and the machine learning tasks. Activities include review of case studies using the MIMIC and the eICU CRD 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 pre-arranged time.