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- | ====== BIOMEDIN 215 DATA DRIVEN MEDICINE | + | ====== BIOMEDIN 215: Data Science for Medicine (Aut 2023) ====== |
- | ====== Schedule and Syllabus ====== | + | The Autumn 2023 class will be offered in person. |
- | **Syllabus**: {{ :: | + | – 2023 Teaching team: Nigam Shah, Alison Callahan, Bryan Bunning, Maggie Wang, Ben Viggiano, Yixing Jiang |
- | TAs: Alejandro Schuler (aschuler AT stanford.edu), Stephen Pfohl (spfohl AT stanford.edu), Craig Smail (csmail AT stanford.edu) | + | 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 to any task involving data manipulation and analysis. The course will use real, de-identified, large size patient datasets for home work projects associated with the course. To have the best learning experience, you will need to be proficient in the R language. |
- | ^If nothing shows up in the space below, reload the page^ | + | Upon completing this course, you should be able to: |
- | < | + | - recognize categories of research questions and the study designs used to address them. |
- | <iframe width=' | + | - describe common healthcare data sources and their relative advantages and limitations. |
- | </ | + | |
- | ====== Course Materials ====== | + | |
+ | - apply your knowledge to evaluate and criticize published clinical informatics research. | ||
- | * Go to https:// | ||
- | * If already enrolled, click here [[https:// | ||
- | * For BIOMEDIN 225, click here [[https:// | ||
- | ====== | + | Schedule: TUE, THU 1:30 PM - 2:50 PM in Gates B3. \\ |
- | [[R-tutorial]] \\ | + | For Office Hours, see the [[https:// |
+ | Pre-requisites: | ||
+ | |||
+ | < | ||
+ | |||
+ | <iframe width=' | ||
- | **older version** [[biomedin215-2011|when we had year end projects]] \\ | ||