Description: Practical Data Analytics for Innovation in Medicine : Building Real Predictive and Prescriptive Models in Personalized Healthcare and Medical Research Using Ai, Ml, and Related Technologies, Hardcover by Miner, Gary D.; Miner, Linda A.; Burk, Scott; Goldstein, Mitchell; Nisbet, Robert, ISBN 0323952747, ISBN-13 9780323952743, Like New Used, Free shipping in the US Practical Data Analytics for Innovation in Medicine: Building Real Predictive and Prescriptive Models in Personalized Healthcare and Medical Research Using AI, ML, and Related Technologies, Second Edition discusses the needs of healthcare and medicine in the 21st century, explaining how data analytics play an important and revolutionary role. With healthcare effectiveness and economics facing growing challenges, there is a rapidly emerging movement to fortify medical treatment and administration by tapping the predictive power of big data, such as predictive analytics, which can bolster patient care, reduce costs, and deliver greater efficiencies across a wide range of operational functions. Sections bring a historical perspective, highlight the importance of using predictive analytics to help solve health crisis such as the COVID-19 pandemic, provide access to practical step-by-step tutorials and case studies online, and use exercises based on real-world examples of successful predictive and prescriptive tools and systems. The final part of th focuses on specific technical operations related to quality, cost-effective medical and nursing care delivery and administration brought by practical predictive analytics. Brings a historical perspective in medical care to discuss both the current status of health care delivery worldwide and the importance of using modern predictive analytics to help solve the health care crisis Provides online tutorials on several predictive analytics systems to help readers apply their knowledge on today’s medical issues and basic research Teaches how to develop effective predictive analytic research and to create decisioning/prescriptive analytic systems to make medical decisions quicker and more accurate
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Book Title: Practical Data Analytics for Innovation in Medicine : Building Re
Number of Pages: 800 Pages
Publication Name: Practical Data Analytics for Innovation in Medicine : Building Real Predictive and Prescriptive Models in Personalized Healthcare and Medical Research Using AI, ML, and Related Technologies
Language: English
Publisher: Elsevier Science & Technology
Publication Year: 2023
Subject: Life Sciences / Molecular Biology, General, Bioinformatics
Type: Textbook
Item Length: 10.9 in
Author: Gary D. Miner, Robert Nisbet, Mitchell Goldstein, Linda A. Miner, Nephi Walton
Subject Area: Computers, Science, Medical
Item Width: 8.5 in
Format: Hardcover
