Practical Data Analytics for Innovation in Medicine
Miner, Gary D. (CEO, M&M Predictive Analytics LLC, UCI Adjunct Professor for Continuing Education, Predictive Analytics Program, Associate Editor, The Journal of Geriatric Psychiatry and Neurology, Private Consulting, Tulsa, OK, USA) / Miner, Linda A. (Professor Emeritus and Director of Academic Programs, Southern Nazarene University, Editorial Board, The Journal of Geriatric Psychiatry and Neurology, Private Consulting, Tulsa, OK, USA) / Burk, Scott (Chief Data Officer, Data Scientist, Architect & Thought Leader TIBCO, Professor, Data Mining and Predictive Analytics, New York University, Temple, TX, USA) / Goldstein, Mitchell (Professor of Pediatrics, Division of Neonatology, Director Neonatal ECMO Program, Loma Linda School of Medicine, Loma Linda University Children’s Hospital, Loma Linda, CA, USA) / Nisbet, Robert (Researcher-Medical Informatics, H.H. Chao Comprehensive Digestive Disease Center, University of California Irvine Medical Center, Private Consulting, Santa Barbara, CA, USA) / Walton, Nephi (Associate Medical Director, Intermountain Healthcare, Precision Genomics, Salt Lake City, UT, USA) / Hill, Thomas (StatSoft, Inc., Tulsa, OK, USA)![Practical Data Analytics for Innovation in Medicine](https://support.digitalhusky.com/media/annotations/sorted/383/38365725/CHSBZCOP0338365725.jpg)
Practical Data Analytics for Innovation in Medicine: Building Real Predictive and Prescriptive Models in Healthcare and Medical Research Using AI, ML, and Related Technologies, Second Edition discusses the needs of healthcare and medicine in the 21st century and explains how data analytics play an important and revolutionary role on fulfilling them. With healthcare effectiveness and economics facing growing challenges, there is a rapidly emerg...