Artificial Intelligence (AI) for Healthcare - Data Mining Vs. Data “Mine-ing”: AI/ML in Health Care

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Bio

Rance Cleaveland is Professor of Computer Science at the University of Maryland at College Park. Prior to joining the Maryland faculty in 2005, he held professorships at the State University of New York at Stony Brook and at North Carolina State University. He is also co-founder of Reactive Systems, Inc. He has published over 150 papers in the areas of software verification and validation, formal methods, model checking, software specification formalisms, and verification tools. Cleaveland has B.S. degrees in Mathematics and Computer Science from Duke University and M.S. and Ph.D. degrees from Cornell University. He is a Fellow of IEEE and a past Division Director for Computing and Communication Foundations at the NSF.

Abstract

This talk will survey challenges and opportunities in the use of machine learning in the health-care field.

 

  • Date mining; data privacy; regulation; data synthesis
  • Mini-Workshops
  • 2022
  • CPS PI Meeting 2022
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