6.872 Biomedical Computing

Class Info

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 to support precision medicine. Topics include the nature of clinical data, architecture and design of healthcare information systems, privacy and security issues, medical expert systems, predictive models and machine learning from big data in healthcare, and an introduction to bioinformatics. Case studies and guest lectures describe contemporary institutions, systems, and research projects. Term project using large clinical and genomic data sets integrates classroom topics.

This class has 6.034, and 6.036 as prerequisites.

6.872 will be offered this semester (Fall 2017). It is instructed by G. Alterovitz and P. Szolovits.

Lecture occurs 9:30 AM to 11:00 AM on Mondays and Wednesdays in 36-153.

This class counts for a total of 12 credits.

In the Fall 2015 Subject Evaluations, 6.872 was rated 5.7 out of 7.0. You can find more information on MIT OpenCourseWare at the Biomedical Computing site or on the 6.872 Stellar site.

MIT 6.872 Biomedical Computing Related Textbooks
MIT 6.872 Biomedical Computing On The Web
Biomedical Computing
alterovitz license by-nc-sa creative hst gil alterovitz creative commons peter szolovits

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