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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. |
+ | |||
+ | – 2022 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: | ||
- | - differentiate between and give examples of categories of research questions and the study designs used to address them. | + | - recognize |
- 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 syllabus |
- | + | Schedule: TUE, THU 1:30 PM - 2:50 PM in Gates B3. For Office Hours, see the Canvas site \\ | |
- | The course will use real, de-identified, | + | Pre-requisites: |
- | + | ||
- | This course | + | |
- | + | ||
- | **Prerequisites: | + | |
- | + | ||
- | ====== Schedule and Syllabus ====== | + | |
- | + | ||
- | **Schedule**: | + | |
- | **Office Hours**: Wednesdays 3 - 4:30 PM, in MSOB room 275 (see class announcements) \\ **Syllabus** | + | |
- | **Course materials**: | + | |
- | + | ||
- | TAs: Stephen Pfohl (spfohl AT stanford.edu), Craig Smail (csmail AT stanford.edu), Ben Huynh (benhuynh AT stanford.edu) | + | |
- | ^If nothing shows up in the space below, reload the page| | + | * CS 106A or equivalent |
+ | * STATS 60 or equivalent | ||
+ | * high school biology | ||
- | < | + | < |
- | \\ | + | <iframe width=' |