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--- biomedin215 [2019/09/22 14:48]
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-====== BIOMEDIN 215 DATA DRIVEN MEDICINE ======
+====== BIOMEDIN 215, 2020 ======
-The widespread adoption of electronic health records (EHRs) has created a new source of “bigdata”—namely, the record of routine clinical practice—as a by-product of care. Can we use this data to save lives and promote wellbeing?
+In the Autumn quarter of 2020, this class will be offered online.
-Upon completing this course, you should be able to:
+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 as possible in a virtual setting. Therefore, to ease the transition of converting the class content for offering on Zoom, enrollment in 2020 will be limited to graduate students in the Biomedical Informatics (BMI) Program. I have chosen to do this so that we can maintain an effective learning experience for those students for whom this is a required class.
-  - differentiate between and give examples of categories of research questions and the study designs used to address them.
+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.
-  - 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 a statistical analysis of a clinical dataset to answer a research question.
-  - 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 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 (STATS 60 or equivalent) and biology. \\ **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 B03. Lectures are recorded \\ **Videos**: Posted on Canvas about two hours after the class ends \\
-**Office Hours (MSOB room 393)**: Tuesday 11am-12pm (Minh); 4-5pm (Ben) | Thursday 9-10am (Conor) \\ **Syllabus**  : [[https://docs.google.com/document/d/1mM0quMZn5Rc6V9qVMxLqzNeK_BqXsx7PLu1oBVr_vRM/edit?usp=sharing|2019 Syllabus link]] \\
-**Course materials**: Go to [[https://canvas.stanford.edu/|https://canvas.stanford.edu/]] and join BIOMEDIN 215
-TAs: Ben Huynh (benhuynh AT stanford.edu), Conor Corbin (ccorbin AT stanford.edu), Minh Nguyen (minh084 AT stanford.edu)
-^If nothing shows up in the space below, reload the page|
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-\\

Shah Lab

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