HSEG 665 Population Health and Big Data Analytics

3 semester hours

Electronic access to huge databases of patients provides new extraordinary potential for improving clinical diagnosis and treatments, including genomics, studies of genetic, lifestyle, environmental, clinical and other factors. The course explores the opportunities for healthcare analytics and clinical treatment developments. The course will cover the research lifecycle from formulation of clinical questions, to big data access and extraction, extraction, statistical analysis, evidence formulation, and clinical implementation methods. Statistical topics will include clustering, extrapolation, scaling, dimensionality, supervised and unsupervised learning, decision trees, handling uncertainty, Bayesian methods, Hidden Markov models, model selection, validation, data visualization, support vector machines, and so forth. The role of Healthcare Systems Engineers in such projects will be explored. Population medicine. Project.

Undergraduate-level Statistics is recommended.

Online course delivered by WebEx (3 hours per week). This course is available only to Healthcare Systems Engineering students.