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MED264: Principles of Biomedical Informatics

Instructor:  Tsung-Ting Kuo, PhD,

Teaching Assistants: Adam Officer (aofficer@eng.ucsd.edu) and Timothy V Pham (tvp005@health.ucsd.edu)

When:  Fall 2022 -- -- Courses will be offered in-person on Mondays from 3:30 to 5:30 pm and Thursdays from 1:30 to 3:30 pm at BRF-II 5A03.

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. 

 

MED264 Syllabus

DATE

SPEAKER

SESSION TITLE

09/22

Tsung-Ting Kuo

Introduction to Biomedical Informatics and Machine Learning

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BLOCK 1 - Clinical Informatics

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09/26

Scott Lippman

Cancer Informatics

09/29

Amy Sitapati

Population Health Informatics

Skill Assessment Due

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 10/03

Lucila Ohno-Machado

Introduction to Decision Making

Teams Formed for Final Project

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10/06

Sally Baxter

Introduction to Ophthalmology informatics and All-of-Us

10/10

Adam Officer

Fundamental data science with Python

10/13

Timothy Pham

A Practical Introduction to Machine Learning with Python

10/17

Jejo Koola

Evaluating Predictive Analytics for Clinical Decision Support

 10/20

Rodney Gabriel

Anesthesia Informatics

Project Proposal Due

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10/24

Shamim Nemati

Deep Learning and Predictive Analytics in the ICU

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BLOCK 2 - Clinical Research Informatics

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 10/27

Siddjarth Singh, Karen Heskett, and Tim Chu

Evidence-Based Decision Making / Systemic Reviews

Graded Proposals Returned

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10/31

Tsung-Ting Kuo

Biomedical, Healthcare and Genomic Blockchain Applications

11/03

Michael Hogarth and Reid Otsuji

Relational Models and Data Systems / Introduction to SQL

11/07

Robert El-Kareh

The Big Picture of Informatics Implemented in Medical Centers and Introduction to EPIC

11/10

Michael Hogarth

Not All Data are Structured: Clinical Natural Language Processing and Standards

11/14

Alexander Wenzel

Basic Experimental Design and Basic Statistics with R

11/17

Kai Zheng

Human Factors: Workflow Optimization and Human-Computer Interaction 

11/18

Final TA Discussion Session Due

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11/21

Jihoon Kim

Advanced Statistics / Biomedical Informatics with R

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BLOCK 3 - Translational Bioinformatics

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11/24

Thanksgiving

NO CLASS

11/28

Hannah Carter

Systems Biology for Biomedical Discovery

 12/01

 

Matteo D'Antonio

Human Genetics

Project Report Due

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12/05

Final Presentations from Student Teams

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Course grades will be based on:

  1. Proposal (20%)
  2. Homework (30%)
  3. Final project presentation and report (50%)
  4. Bonus credit for course participation and submitting evaluation forms (10%, 0.5% per lecture)