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. 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.

Subjects

HST.950 | HST.950 | medical informatics | medical informatics | bioinformatics | bioinformatics | developing countries | developing countries | medical data | medical data | clinical data | clinical data | probabilistic models | probabilistic models | graphical models | graphical models | information theory | information theory | decision support | decision support | expert systems | expert systems | personal health records | personal health records | bayesian networks | bayesian networks | bayesian models | bayesian models | health information systems | health information systems | public health informatics | public health informatics | predictive genomics | predictive genomics | patient data privacy | patient data privacy

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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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.

Subjects

HST.950 | medical informatics | bioinformatics | developing countries | medical data | clinical data | probabilistic models | graphical models | information theory | decision support | expert systems | personal health records | bayesian networks | bayesian models | health information systems | public health informatics | predictive genomics | patient data privacy

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

Site sourced from

https://ocw.mit.edu/rss/all/mit-alllifesciencescourses.xml

Attribution

Click to get HTML | Click to get attribution | Click to get URL

All metadata

See all metadata