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- | ====== BIOMEDIN 215 DATA DRIVEN MEDICINE | + | ====== BIOMEDIN 215, 2020 ====== |
- | The widespread adoption | + | In the Autumn quarter |
+ | |||
+ | The goal of this course is 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. | + | In the past years, the [[: |
- | + | ||
- | 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, | + | |
- | + | ||
- | **Prerequisites: | + | |
- | + | ||
- | ====== Schedule and Syllabus ====== | + | |
- | + | ||
- | **Schedule**: | + | |
- | **Course materials**: | + | |
- | + | ||
- | TAs: Ben Huynh (benhuynh AT stanford.edu), | + | |
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- | ^If nothing shows up in the space below, reload the page| | + | |
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- | < | + | |
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- | \\ | + | |
+ | If you are not a BMI graduate student, thank you for understanding. I look forward to meeting you in the regular offering of the class next Autumn. | ||
+ | -- 2020 Teaching team: Nigam Shah, Alison Callahan, Conor Corbin, Minh Nguyen, Erin Craig |