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- | ====== BIOMEDIN 215 DATA DRIVEN MEDICINE | + | ====== BIOMEDIN 215: Data Science for Medicine (Aut 2023) ====== |
- | The widespread adoption of electronic health records (EHRs) has created a new source of “bigdata”—namely, the record of routine | + | The Autumn 2023 class will be offered in person. |
+ | |||
+ | – 2023 Teaching team: Nigam Shah, Alison Callahan, Bryan Bunning, Maggie Wang, Ben Viggiano, Yixing Jiang | ||
+ | |||
+ | This course is designed to prepare you to pose and answer meaningful | ||
Upon completing this course, you should be able to: | Upon completing this course, you should be able to: | ||
- | | + | |
+ | | ||
- describe common healthcare data sources and their relative advantages and limitations. | - describe common healthcare data sources and their relative advantages and limitations. | ||
- extract and transform various kinds of clinical data to create analysis-ready datasets. | - extract and transform various kinds of clinical data to create analysis-ready datasets. | ||
- | - design and execute | + | - design and execute |
- apply your knowledge to evaluate and criticize published clinical informatics research. | - apply your knowledge to evaluate and criticize published clinical informatics research. | ||
- | The overall goal of this course is to prepare you to discover meaningful clinical knowledge using healthcare data. In addition, 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, | + | Schedule: TUE, THU 1:30 PM - 2:50 PM in Gates B3. \\ |
- | + | For Office Hours, see the [[https://canvas.stanford.edu/ | |
- | **Prerequisites: | + | Pre-requisites: See the [[https://docs.google.com/ |
- | **Highly recommended: | + | |
- | **Recommended: | + | |
- | + | ||
- | ====== Schedule and Syllabus ====== | + | |
- | + | ||
- | **Schedule**: TUE, THU 1:30 PM - 2:50 PM \\ | + | |
- | **Lectures**: | + | |
- | **Videos**: | + | |
- | **Discussion Sections**: Some Wednesdays 12 - 1 PM, in MSOB room 275 (see class announcements) \\ | + | |
- | **Office hours**: Fridays 11:00 AM - 12:30 PM, in MSOB X237 \\ | + | |
- | **Syllabus**: {{ ::syllabus.pdf |2017 Syllabus}} | + | |
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- | TAs: Alejandro Schuler (aschuler AT stanford.edu), | + | |
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- | ^If nothing shows up in the space below, reload the page^ | + | |
< | < | ||
- | <iframe width=' | ||
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- | ====== | + | <iframe width=' |
- | [[R-tutorial]] \\ | + | |
- | **older version** [[biomedin215-2011|when we had year end projects]] \\ | ||