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-====== BIOMEDIN 215: Data Science for Medicine (Aut 2024) ======
+====== In 2025 BIOMEDIN 215 course is renamed to BMDS 215 ======
-The Autumn 2024 class will be offered in person.
-– 2024 Teaching team: Nigam Shah, Yixing Jiang, Suhana Bedi, Sohaib Hassan, Joshua Lazaro
-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.
-Upon completing this course, you should be able to:
-  - 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 an analysis of a clinical dataset to answer a research question.
-  - apply your knowledge to evaluate and criticize published clinical informatics research.
-Schedule: TUE, THU 3:00 PM - 4:20 PM in Gates B3. \\ For Office Hours, see the [[https://canvas.stanford.edu/courses/197530|Canvas site]] (log in with your SUNet id) \\
-<html>
-<iframe width='900' height='580' frameborder='0's src="https://docs.google.com/spreadsheets/d/e/2PACX-1vQKjg1NifRWhIeIWoGfgXp7w8wJOGGL1Hvf556PayWog1RQs8PaYZDKtx65KcT0EaYOwlC33-0bLWTf/pubhtml?gid=34616104&single=true&widget=true&headers=false"></iframe></html> //
+New page is at https://shahlab.stanford.edu/bmds215

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