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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

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
Tjek vores konkurrenters priser
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 the book focuses on specific technical operations related to quality, cost-effective medical and nursing care delivery and administration brought by practical predictive analytics.
Tjek vores konkurrenters priser
Normalpris
kr 925
Fragt: 39 kr
6 - 8 hverdage
20 kr
Pakkegebyr
God 4 anmeldelser på
Tjek vores konkurrenters priser
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 the book focuses on specific technical operations related to quality, cost-effective medical and nursing care delivery and administration brought by practical predictive analytics.
Produktdetaljer
Sprog: Engelsk
Sider: 576
ISBN-13: 9780323952743
Indbinding: Hardback
Udgave: 2
ISBN-10: 0323952747
Udg. Dato: 6 maj 2023
Længde: 38mm
Bredde: 286mm
Højde: 224mm
Forlag: Elsevier Science & Technology
Oplagsdato: 6 maj 2023
Forfatter(e) Thomas Hill, Gary D. Miner, Mitchell Goldstein, Nephi Walton, Robert Nisbet, Scott Burk, Linda A. Miner


Kategori Medicinsk & sundhedsfaglig informatik


ISBN-13 9780323952743


Sprog Engelsk


Indbinding Hardback


Sider 576


Udgave 2


Længde 38mm


Bredde 286mm


Højde 224mm


Udg. Dato 6 maj 2023


Oplagsdato 6 maj 2023


Forlag Elsevier Science & Technology

Kategori sammenhænge