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 emerging movement to fortify medical treatment and administration... Celý popis
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Practical Data Analytics for Innovation in Medicine: Building Real Predictive and Prescriptive Models in Personalized Healthcare and Medical Research (Miner Gary D.)(Pevná vazba)
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Practical Data Analytics for Innovation in Medicine
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Popis
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 emerging movement to fortify medical treatment and administration by tapping the predictive power of big data, and it has shown solid results: predictive analytics bolster patient care, reduce cost, and deliver greater efficiencies across a wide range of operational functions.
The first part of the book brings a historical perspective and the issues of concern for healthcare delivery currently, highlighting the importance of
The first part of the book brings a historical perspective and the issues of concern for healthcare delivery currently, highlighting the importance of
Parametry
Rok vydání | 2023 |
Počet stran | 576 |
Výrobce | Elsevier Science & Technology |
Jazyk | anglické |
Váha | 1810 gramů |