Data Science for Effective Healthcare Systems

Data Science for Effective Healthcare Systems

Hari Singh, Ravindara Bhatt, Prateek Thakral, Dinesh Chander Verma
როგორ მოგეწონათ ეს წიგნი?
როგორი ხარისხისაა ეს ფაილი?
ჩატვირთეთ, ხარისხის შესაფასებლად
როგორი ხარისხისაა ჩატვირთული ფაილი?
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.
კატეგორია:
წელი:
2022
გამომცემლობა:
CRC Press/Chapman & Hall
ენა:
english
გვერდები:
224
ISBN 10:
1032307501
ISBN 13:
9781032307503
ISBN:
2022003645
ფაილი:
PDF, 19.75 MB
IPFS:
CID , CID Blake2b
english, 2022
ჩატვირთვა (pdf, 19.75 MB)
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