Machine Learning for Healthcare
MACHN LEARNING HEALTHCARE
Prerequisites: Medical Informatics G4001, Computer Science W3139. Survey of the methods underlying the field of medical informatics. Explores techniques in mathematics, logic, decision science, computer science, engineering, cognitive science, management science and epidemiology, and demonstrates the application to health care and biomedicine.
- F 10:30 a.m.-11:45 a.m.
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Instructor:
Amelia J Averitt
Info - 3 points
ACCULTURATN TO MED & CLIN INFO
Overview of the field of medicine for informaticians. Medical language and terminology, introduction to pathology and pathophysiology, the process of medical decision making, and an understanding of how information flows in the practice of medicine.
- T 2:30 p.m.-4:30 p.m.
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Instructor:
Sivan Kinberg
Info - 3 points
MTHDS IN HLTH INFORMATION TECH
- F 9 a.m.-1 p.m.
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Instructor:
Virginia G Lorenzi
Info - 3 points
HEALTH INFO TECHNOLOGY
SKILLS & MTHDS IN HIT
- F 1:10 p.m.-5 p.m.
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Instructor:
Virginia G Lorenzi
Info - 3 points
RES SEM IN BIOMED INFORMATICS
Prerequisite: open to public. Presentations by medical informatics faculty and invited international speakers in medical informatics, computer science, nursing informatics, library science, and related fields.
- M 1 p.m.-2 p.m.
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Instructor:
Sarah A Rossetti
Info - 1 points
METHODS III: RESEARCH METHODS
- F 9 a.m.-10:15 a.m.
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Instructor:
Olena Mamykina
Info - 3 points