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Last updated:

September 28, 2022

Duration:

Unlimited Duration

FREE

This course includes:

Unlimited Duration

Badge on Completion

Certificate of completion

Unlimited Duration

Description

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.

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 Curriculum

  • 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

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Massachusetts Institute of Technology
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