Improving Data Preparation in Predictive Analytics for Hospital Readmission

Hamed Zolbanin

Ball State University

Hamed M. Zolbanin is an assistant professor of information systems and the director of business analytics in Miller College of Business at Ball State University. He had several years of professional experience as an IT engineer prior to receiving his Ph.D. in Management Science and Information Systems from Oklahoma State University. His main research interests are healthcare informatics, business and data analytics, and digital entrepreneurship. He has published two articles in Decision Support Systems journal.


Predictive analytics involves the application of statistical algorithms and machine learning techniques on existing data to identify insightful patterns and to predict future outcomes based on historical data. Predictive... [ view full abstract ]


  1. Hamed Zolbanin (Ball State University)
  2. Sushil Sharma (Ball State University)

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BD-1 » Big Data & Data Mining (13:30 - Friday, 13th April, Grand Central D)



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