BMI Course Information
BMI 211 Modeling Biomedical Decisions (3)
Instructor Information |
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Fall 2009 |
Course not offered |
Spring 2009 |
Course not offered |
Catalog Description
The first semester of a three semester course sequence surveying the methods and theories underlying the field of biomedical informatics. This segment of the course explores models of medical decision making including classical decision theory, Bayesian and cognitive models. This aspect of the course focuses on the question of how best to model and support decisions faced by practitioners in the course of clinical care. The course will also include a component discussing evaluation methods in biomedical informatics, which will explain the various methods used to evaluate the accuracy and usefulness of biomedical informatics systems.
Prerequisites
BMI 201
Textbook and Other Materials
Shortliffe, E. Cimino, J. (Editors) Biomedical Informatics: Computer Applications in Health Care and Biomedicine (Health Informatics). Third edition
Course Learning Outcomes
Students who complete this course will be able to:
1. Model human decision making using a range of methods.
2. Be able to apply formal methods of decision analysis to solve problems.
3. Understand and utilize Bayesian approaches to decision making and analysis.
4. Relate the key findings of cognitive studies into human decision-making, including classical laboratory-based and naturalistic decision making studies.
5. Apply a range of commonly used evaluation metrics appropriately.
Major Topics and Time Covered
- Normative models (1 week)
- Classical decision making (2 weeks)
- Naturalistic Decision making (1 week)
- Decision Analysis (2 weeks)
- Fundamentals of probability (1 week)
- Bayesian methods (3 weeks)
- Cognitive studies of diagnostic decision-making (1 week)
- Evaluation methods and their application (3 weeks)