Material Detail

HST.950J Biomedical Computing (MIT)

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.

Keywords:: Information Technology, expert systems, Computational Biology, decision support, Biomedical Instrumentation, patient data privacy, ocwc, oec, clinical data, probabilistic models, public health informatics, predictive genomics, medical informatics, Biomedicine, bayesian models, developing countries, health information systems, medical data, bioinformatics, graphical models, information theory, personal health records, bayesian networks

Disciplines:

Business / Information Systems

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More about this material

Material Type:: Online Course
Date Added to MERLOT:: August 6, 2014
Date Modified in MERLOT:: October 17, 2014
Author:: Prof. Peter Szolovits
Prof. Gil Alterovitz
Submitter:: The Open Education Consortium
Primary Audience:: College General Ed
Technical Format:: Website

Mobile Compatibility:: Not specified at this time
Language:: English
Cost Involved:: No
Source Code Available:: No
Accessibility Information Available:: No
Creative Commons:: This work is licensed under a Attribution-NonCommercial-ShareAlike 3.0 United States