| source Stanford (X) |
level |
department Biomedical Informatics (X) |
Methods for modeling biomedical systems and for making those models explicit in the context of building software systems. Emphasis is on intelligent systems for decision support and Semantic Web applications. Topics: knowledge representation, controlled terminologies, ontologies, reusable problem solvers, and knowledge acquisition. Recommended: exposure to object-oriented systems, basic biology.
Score: 13.1944065 Details | Listing | Web page
Preference to sophomores. Concepts of genomics, high-throughput methods of data collection, and computational approaches to analysis of data. The social, ethical, and economic implications of genomic science. Students may focus on computational or social aspects of genomics.
Score: 13.1944065 Details | Listing | Web page
Graduate students with research interests should take ECON 248. Institutional, theoretical, and empirical analysis of the problems of health and medical care. Topics: institutions in the health sector; measurement and valuation of health; nonmedical determinants of health; medical technology and technology assessment; demand for medical care and medical insurance; physicians, hospitals, and managed care; international comparisons. Prerequisites: ECON 50 and ECON 102A or equivalent statistics. Recommended: ECON 51.
Score: 13.1944065 Details | Listing | Web page
Series of colloquia offered by program faculty, students, and occasional guest lecturers. May be repeated three times for credit.
Score: 13.1944065 Details | Listing | Web page
Participants report on recent articles from the Biomedical Informatics literature or their research projects. Goal is to teach presentation skills. May be repeated three times for credit.
Score: 13.1944065 Details | Listing | Web page
Score: 13.1944065 Details | Listing | Web page
Score: 13.1944065 Details | Listing | Web page
Effective management, modeling, acquisition, and mining of biomedical information in healthcare and biotechnology companies and approaches to information management adopted by companies in this ecosystem. Guest speakers from pharmaceutical/biotechnology companies, clinics/hospitals, health communities/portals, instrumentation/software vendors. May be repeated for credit.
Score: 13.1944065 Details | Listing | Web page
Topical discussions of the use of electronic health records in clinical care and clinical research. Lectures by faculty, students and guest speakers are augmented by site visits to local clinical institutions that have implemented electronic health records systems. Goal is exposure to practical challenges of system implementation and to research opportunities in clinical informatics.
Score: 13.1944065 Details | Listing | Web page
Methods for modeling biomedical systems and for making those models explicit in the context of building software systems. Emphasis is on intelligent systems for decision support and Semantic Web applications. Topics: knowledge representation, controlled terminologies, ontologies, reusable problem solvers, and knowledge acquisition. Recommended: exposure to object-oriented systems, basic biology.
Score: 13.1944065 Details | Listing | Web page