HST.950[J] 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.

HST.950[J] will not be offered this semester. It will be instructed by P. Szolovits.

This class counts for a total of 12 credits. This is a graduate-level class.

You can find more information at the MIT + HST.950 - Google Search site.

MIT HST.950[J] Biomedical Computing Related Textbooks
MIT HST.950[J] Biomedical Computing On The Web

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