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Analyzes computational needs of clinical medicine reviews systems and approaches that have been used to support those needs, and the relationship between clinical data and gene and protein measurements.
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English
English [CC]
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Description
Topics: the nature of clinical data; architecture and design of healthcare information systems; privacy and security issues; medical expertsystems; introduction to bioinformatics. Case studies and guest lectures describe contemporary systems and research projects. Term project using large clinical and genomic data sets integrates classroom topics.
Course content
- Nature of clinical data (Peter Szolovits) Unlimited
- Standards (Peter Szolovits) Unlimited
- Data in narrative text (Peter Szolovits) Unlimited
- Building models (Peter Szolovits) Unlimited
- Decision support via expert systems (Peter Szolovits) Unlimited
- Modeling with bayesian networks (Peter Szolovits) Unlimited
- Patient monitoring and intensive care (Leo Celi) Unlimited
- HIT in the developing world (Hamish Fraser) Unlimited
- Learning bayesian networks (Peter Szolovits) Unlimited
- Patient data privacy (Peter Szolovits and Chris Cassa) Unlimited
- Computer science challenges from health care (Peter Szolovits) Unlimited
Instructor
Massachusetts Institute of Technology
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