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biomedin215 [2017/09/13 19:31]
nigam [Schedule and Syllabus] 		biomedin215 [2023/09/01 14:40]
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 “big data”—namely, the record of routine clinical practice—as a by-product of care. This graduate class will teach you how to use EHR and other patient data for better healthcare.+The Autumn 2023 class will be offered in person.
  
-The course has 20 lectures. The first 8 lectures will review the primary sources of healthcare data, their advantages and limitations, methods to transform the raw data into an analysis substrate, and the use of ontologies in data-mining.  The remaining lectures will review several problem areas and analysis methods used in that problem area ending with home work and assigned readings. In addition, there are 8 discussion sections that provide in depth explanation of the methods referred to in the lectures. For 2017, the discussions will NOT be recorded and will be used to hone our skills in critical reading of recent publications related to the topics covered in class.+– 2023 Teaching team: Nigam Shah, Alison Callahan, Bryan Bunning, Maggie Wang, Ben Viggiano, Yixing Jiang
  
-The course will use real, de-identified, large size patient datasets for home work projects associated with the course. This course is also offered in a 2 credit version (BIOMEDIN 225) which meets at the same time but requires only one home work, which uses public data.+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.
  
-**Prerequisites:** CS 106A; familiarity with statistics and biology. \\ +Upon completing this course, you should be able to:
-**Highly recommended:** STATS 216. \\ +
-**Recommended:** one of CS 246, STATS 305, HRP 258 or CS 229.+
  
-====== Schedule and Syllabus ======+  - 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 1:30 PM - 2:50 PM \\ +The syllabus for 2023 is [[https://docs.google.com/document/d/1se4LuFfeIpZBzgiGL5AM57jg_dBOCG37nNWdIfEoYZQ/edit|here]] and the Canvas site is available [[https://canvas.stanford.edu/courses/178048|here]] (log in with your SUNet id) \\ 
-**Lectures**: Gates B3 (Fall 2017). Lectures are recorded \\ +Schedule: TUE, THU 1:30 PM - 2:50 PM in Gates B3. For Office Hours, see the Canvas site \\ 
-**Videos**: https://mvideox.stanford.edu/Course/777 (posted about two hours after the class ends) \\ +Pre-requisites: This course is designed for students experienced in basic programming, statistics, and biology. To ensure your success in this course, we expect that you know the R programming language and require that you have taken the following courses:
-**Discussion Sections**: Some Wednesdays 12 - 1 PM, in MSOB room 275 (see class announcements) \\ +
-**Office hours**: Fridays 11:00 AM - 12:30 PM, in MSOB X237 +
-**Syllabus**:{{ ::syllabus.pdf |2017 Syllabus file}}+
  
-TAs: Alejandro Schuler (aschuler AT stanford.edu), Stephen Pfohl (spfohl AT stanford.edu), Craig Smail (csmail AT stanford.edu) +  * CS 106A or equivalent 
- +  * STATS 60 or equivalent 
-^If nothing shows up in the space below, reload the page^+  * high school biology
  
 <html> <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> 
-====== Course Materials ====== 
- 
-  * Go to https://canvas.stanford.edu/ and join BIOMEDIN 215 
-  * If already enrolled, click here [[https://canvas.stanford.edu/courses/49930 | BIOMEDIN 215 site]] 
-  * For BIOMEDIN 225, click here [[https://canvas.stanford.edu/courses/49932 | BIOMEDIN 225 site]] 
  
-====== Miscellaneous References ====== +<iframe width='900' height='580' frameborder='0's src="https://docs.google.com/spreadsheets/d/e/2PACX-1vSUt9Hf34dkX_ioxJugITzOo_HhqbRC2kXTEW6auFRvAsxQzxxmRFPI3Ued8SuFGCIHuBWRwxGz7EGL/pubhtml?gid=34616104&single=true&widget=true&headers=false"></iframe></html> //
-[[R-tutorial]] \\+
  
-**older version** [[biomedin215-2011|when we had year end projects]] \\ 
  
biomedin215.txt · Last modified: 2023/09/01 14:42 by nigam

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