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- | ====== BIOMEDIN 215, 2020 ====== | + | ====== BIOMEDIN 215: Data Science for Medicine (Aut 2022) ====== |
- | In the Autumn | + | The Autumn |
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+ | – 2022 Teaching team: Nigam Shah, Alison Callahan, Bryan Bunning, Oana Enache, Min Woo Sun, Maggie Wang | ||
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+ | This course is designed to prepare you to pose and answer meaningful clinical questions using routinely collected healthcare data. The practical skills you will learn in this class will be applicable | ||
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+ | Upon completing this course, you should be able to: | ||
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+ | - recognize categories of research questions and the study designs used to address them. | ||
+ | - describe common healthcare data sources and their relative advantages and limitations. | ||
+ | - extract and transform various kinds of clinical data to create analysis-ready datasets. | ||
+ | - design and execute an analysis of a clinical dataset to answer a research question. | ||
+ | - apply your knowledge to evaluate and criticize published clinical informatics research. | ||
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+ | The syllabus for 2022 is [[https:// | ||
+ | Canvas site is availabe [[https:// | ||
+ | Schedule: TUE, THU 1:30 PM - 2:50 PM in Gates B1\\ | ||
+ | Prerequisites: | ||
+ | Office Hours: See Canvas site | ||
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+ | < | ||
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+ | <iframe width=' | ||