Data analytics and predictive models for business intelligence

Catalog description

Examines real-world cases of how analytics and innovations have been used to support decisions and transform healthcare delivery. Through these cases, the following cutting-edge data analytics and prediction methods are covered under an optimization framework: data visualization, regression, machine learning, decision trees, classification, clustering, and text analysis, with applications in various areas, e.g., demand management, forecasting and inventory planning, dashboards and scorecards, cost control, care performance and quality improvement, cybersecurity, personalized medicine, disease prevention and control, safety, clinical research, etc.