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Data Science for Effective Healthcare Systems (Hardcover) Loot Price: R2,905
Discovery Miles 29 050
You Save: R280 (9%)
Data Science for Effective Healthcare Systems (Hardcover): Hari Singh, Ravindara Bhatt, Prateek Thakral, Dinesh Chander Verma

Data Science for Effective Healthcare Systems (Hardcover)

Hari Singh, Ravindara Bhatt, Prateek Thakral, Dinesh Chander Verma

Series: Chapman & Hall/CRC Internet of Things

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Was R3,185 Loot Price R2,905 Discovery Miles 29 050 | Repayment Terms: R272 pm x 12* You Save R280 (9%)

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Data Science for Effective Healthcare Systems has a prime focus on the importance of data science in the healthcare domain. Various applications of data science in the health care domain have been studied to find possible solutions. In this period of COVID-19 pandemic data science and allied areas plays a vital role to deal with various aspect of health care. Image processing, detection & prevention from COVID-19 virus, drug discovery, early prediction, and prevention of diseases are some thrust areas where data science has proven to be indispensable. Key Features: The book offers comprehensive coverage of the most essential topics, including: Big Data Analytics, Applications & Challenges in Healthcare Descriptive, Predictive and Prescriptive Analytics in Healthcare Artificial Intelligence, Machine Learning, Deep Learning and IoT in Healthcare Data Science in Covid-19, Diabetes, Coronary Heart Diseases, Breast Cancer, Brain Tumor The aim of this book is also to provide the future scope of these technologies in the health care domain. Last but not the least, this book will surely benefit research scholar, persons associated with healthcare, faculty, research organizations, and students to get insights into these emerging technologies in the healthcare domain.

General

Imprint: Taylor & Francis
Country of origin: United Kingdom
Series: Chapman & Hall/CRC Internet of Things
Release date: July 2022
First published: 2023
Editors: Hari Singh • Ravindara Bhatt • Prateek Thakral • Dinesh Chander Verma
Dimensions: 254 x 178mm (L x W)
Format: Hardcover
Pages: 214
ISBN-13: 978-1-03-210568-0
Categories: Books > Computing & IT > General theory of computing > General
Books > Computing & IT > Applications of computing > General
Books > Medicine > General issues > Medical equipment & techniques > General
LSN: 1-03-210568-2
Barcode: 9781032105680

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