course

2019.HST.953: Collaborative Data Science in Medicine

HST.953: Collaborative Data Science in Medicine is a guide for students who are interested in performing retrospective research using data from electronic health records (Medical Information Mart for Intensive Care [MIMIC] database and eICU Collaborative Research Database [eICU-CRD]). The course covers steps of parsing a clinical question into a study design and methodology for data analysis and interpretation, with emphasis on the data curation process that is required before any analysis can be performed.

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2018.HST.953: Collaborative Data Science in Medicine

Registration is Now Closed Please contact course faculty if you have any questions. 2018.HST.953: Collaborative Data Science in Medicine HST.953: Collaborative Data Science in Medicine is a course that focuses on the secondary analysis of clinical data that is routinely collected in the process of care. In this fall course, students will work with Boston-area clinicians on research projects with the goal of a publication-ready manuscript at the end of the semester.

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2017.HST.953: Collaborative Data Science in Medicine

2017.HST.953: COLLABORATIVE DATA SCIENCE IN MEDICINE HST.953: Collaborative Data Science in Medicine, focuses on the secondary analysis of clinical data that is routinely collected in the process of care. In this course, students will work with Boston-area clinicians on research projects with the goal of a publication-ready manuscript at the end of the semester. Three of the 15 papers from last fall are already being reviewed by various clinical journals, while the rest are on track for submission over the next few months.

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