MED264: Principles of Biomedical Informatics
Instructor: Tsung-Ting Kuo, PhD,
Teaching Assistants: Jihoon Kim (j5kim@ucsd.edu) and Jonathan Lam (j7lam@ucsd.edu)
When: Fall 2021 -- Courses will be offered fully remote on Mondays from 3:30 to 5:30 pm and Thursdays from 1:30 to 3:30 pm.
Office Hours: by appointment
Course Objectives: The purpose of this class is to provide an engaging and lively introduction to the field of biomedical informatics. Building up from the basic bits of data to modeling complex organisms and organizations, the course will explore the nature of biomedical information and how this information is and can be used in the care of individual patients and populations. We highlight practical and state-of-the-art technologies in biomedical informatics to get students exposed to the current healthcare research environment.
DATE |
SPEAKER |
SESSION TITLE |
09/23 |
Tsung-Ting Kuo and Lucila Ohno-Machado |
Introduction to Biomedical Informatics, Decision Making, and this Course |
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BLOCK 1 - Clinical Informatics |
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09/27 |
Tsung-Ting Kuo |
Introduction to Machine Learning in Biomedical Informatics |
09/30 |
Jonathan Lam |
A Practical Introduction to Machine Learning with Python |
Skill Assessment Due |
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|
10/04 |
Alexander Wenzel |
Basic Experimental Design and Basic Statistics with R |
Teams Formed for Final Project |
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|
10/07 |
Jejo Koola |
Evaluating Predictive Analytics for Clinical Decision Support |
10/11 |
Robert El-Kareh |
The Big Picture of Informatics Implemented in Medical Centers and Introduction to EPIC |
10/14 |
Sally Baxter |
Introduction to Ophthalmology informatics and All-of-Us |
10/18 |
Chris Longhurst |
Informatics Innovations at the Bedside and Beyond: Mobile Health, Applications linked to EHR systems |
10/21 |
Amy Sitapati |
Population Health Informatics |
Project Proposal Due |
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|
10/25 |
Jihoon Kim |
Advanced Statistics/Biomedical Informatics with R |
10/28 |
Shamim Nemati |
Deep Learning and Predictive Analytics in the ICU |
Graded Proposals Returned |
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|
11/01 |
Rodney Gabriel |
Anesthesia Informatics |
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BLOCK 2 - Clinical Research Informatics |
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11/04 |
Michael Hogarth |
Not All Data are Structured: Clinical Natural Language Processing and Standards |
11/08 |
Nigha Nyugen and Mary Linn Bergstrom |
Evidence-Based Decision Making / Systematic Reviews |
11/11 |
Veterans’ Day |
NO CLASS |
11/15 |
Tsung-Ting Kuo |
Biomedical, Healthcare and Genomic Blockchain Applications |
11/18 |
Michael Hogarth and Reid Otsuji |
Relational Models and Data Systems / Introduction to SQL |
11/22 |
Kai Zheng |
Human Factors: Workflow Optimization and Human-Computer Interaction |
11/25 |
Thanksgiving |
NO CLASS |
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BLOCK 3 - Bioinformatics |
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11/29 |
Hannah Carter |
Systems Biology for Biomedical Discovery |
12/02 |
Kathleen Curtius |
Cancer Genomics and Evolution |
|
Project Report Due |
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12/06 |
Final Presentations from Student Teams |
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Course grades will be based on:
- Proposal (20%)
- Homework (30%)
- Final project participation and report (50%)
- Bonus credit for course participation and submitting evaluation forms (10%, 0.5% per lecture)