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biomedin215 [2017/09/27 13:12]
aschuler [Schedule and Syllabus]
biomedin215 [2023/09/01 14:42] (current)
nigam
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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”—namelythe record of routine clinical practice—as a by-product of careCan we use this data to save lives and promote wellbeing?+The Autumn 2023 class will be offered in person. 
 + 
 +– 2023 Teaching team: Nigam ShahAlison Callahan, Bryan Bunning, Maggie Wang, Ben Viggiano, Yixing Jiang 
 + 
 +This course is designed to prepare you to pose and answer meaningful clinical questions using routinely collected healthcare dataThe 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: 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 categories of research questions and the study designs used to address them.
   - 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 a statistical analysis of a clinical dataset to answer a research question.+  - 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.   - 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 realde-identifiedlarge size patient datasets for home work projects associated with the course+Schedule: TUETHU 1:30 PM 2:50 PM in Gates B3. \\ 
 +For Office Hourssee the [[https://canvas.stanford.edu/courses/178048 | Canvas site]] (log in with your SUNet id) \\ 
 +Pre-requisites: See the [[https://docs.google.com/document/d/1se4LuFfeIpZBzgiGL5AM57jg_dBOCG37nNWdIfEoYZQ/edit|syllabus]]
  
-This course is also offered in a two credit version (BIOMEDIN 225) which meets at the same time and requires completing two home work assignments, journal club, and the in-class writing assignment.+<html>
  
-**Prerequisites:** CS 106A; familiarity with statistics (STATS 60 or equivalent) and biology. \\ +<iframe width='900' height='580' frameborder='0'src="https://docs.google.com/spreadsheets/d/e/2PACX-1vSUt9Hf34dkX_ioxJugITzOo_HhqbRC2kXTEW6auFRvAsxQzxxmRFPI3Ued8SuFGCIHuBWRwxGz7EGL/pubhtml?gid=34616104&single=true&widget=true&headers=false"></iframe></html> //
-**Highly recommended:** STATS 216. \\ +
-**Recommended:** CS 145 or CS 246, CS 229, STATS 305 or HRP 258. +
- +
-====== Schedule and Syllabus ====== +
- +
-**Schedule**: TUE, THU 1:30 PM - 2:50 PM \\ +
-**Lectures**: Gates B3 (Fall 2017). Lectures are recorded \\ +
-**Videos**: https://mvideox.stanford.edu/Course/777 (posted about two hours after the class ends) \\ +
-**Discussion Sections**: Some Wednesdays 3 - 5 PM, in MSOB room 275 (see class announcements) \\ +
-**Syllabus** +
-: https://stanfordmedicine.box.com/s/h09ead5pnewk2n8f0c8zzxgc3od1qmv5 \\ +
-**Course materials**: Go to https://canvas.stanford.edu/ and join BIOMEDIN 215 \\ +
- +
-TAs: Alejandro Schuler (aschuler AT stanford.edu), Stephen Pfohl (spfohl AT stanford.edu), Craig Smail (csmail AT stanford.edu) +
- +
-^If nothing shows up in the space below, reload the page^ +
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-<html> +
-<iframe width='860' height='480' frameborder='0' src="https://docs.google.com/spreadsheets/d/e/2PACX-1vRnOk4jmQutC06hNOVurFLLjTyKvYA2OnjFU8AegB07Dml66rzwow-F21qvpoMX-m6nJIm2XhKLKHGV/pubhtml?gid=34616104&amp;single=true&amp;widget=true&amp;headers=false"></iframe> +
-</html>+
  
  
biomedin215.1506543137.txt.gz · Last modified: 2017/09/27 13:12 by aschuler