This shows you the differences between two versions of the page.
Both sides previous revision Previous revision Next revision | Previous revision Next revision Both sides next revision | ||
biomedin215 [2020/08/26 15:36] nigam |
biomedin215 [2022/09/21 14:25] acallaha |
||
---|---|---|---|
Line 1: | Line 1: | ||
- | ====== BIOMEDIN 215, 2020 ====== | + | ====== BIOMEDIN 215: Data Science for Medicine (Aut 2022) ====== |
- | In the Autumn | + | The Autumn |
- | In the past years, the [[:biomedin215_precovid|pre-COVID]] offering was a highly interactive, in person experience. We wish to preserve as much of the learning experience | + | – 2022 Teaching team: Nigam Shah, Alison Callahan, Bryan Bunning, Oana Enache, Min Woo Sun, Maggie Wang |
+ | |||
+ | 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 | ||
+ | |||
+ | Upon completing this course, you should | ||
+ | |||
+ | - 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 | ||
+ | - apply your knowledge to evaluate and criticize published clinical informatics research. | ||
+ | |||
+ | The syllabus | ||
+ | Canvas site is available [[https:// | ||
+ | Schedule: TUE, THU 1:30 PM - 2:50 PM in Gates B1\\ | ||
+ | Prerequisites: | ||
+ | Office Hours: See Canvas site | ||
+ | |||
+ | < | ||
+ | |||
+ | <iframe width=' | ||
- | 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 |