Smart Healthcare Systems

Adwitiya Sinha (JIIT, Noida), Megha Rathi (JIIT, Noida)

$263

Hardback

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English

Chapman & Hall/CRC
31 July 2019

Telemedicine; Personal & public health; Computing: general

About the Book

The book provides details of applying intelligent mining techniques for extracting and pre-processing medical data from various sources, for application-based healthcare research. Moreover, different datasets are used, thereby exploring real-world case studies related to medical informatics. This book would provide insight to the learners about Machine Learning, Data Analytics, and Sustainable Computing.

Salient Features of the Book

Exhaustive coverage of Data Analysis using R

Real-life healthcare models for:

Visually Impaired

Disease Diagnosis and Treatment options

Applications of Big Data and Deep Learning in Healthcare

Drug Discovery

Complete guide to learn the knowledge discovery process, build versatile real life healthcare applications

Compare and analyze recent healthcare technologies and trends

Target Audience

This book is mainly targeted at researchers, undergraduate, postgraduate students, academicians, and scholars working in the area of data science and its application to health sciences. Also, the book is beneficial for engineers who are engaged in developing actual healthcare solutions.

Edited by: Adwitiya Sinha (JIIT Noida), Megha Rathi (JIIT, Noida)
Imprint: Chapman & Hall/CRC
Country of Publication: United Kingdom
Dimensions: Height: 254mm, Width: 178mm,
Weight: 1.500kg
ISBN: 9780367030568
ISBN 10: 036703056X
Pages: 248
Publication Date: 31 July 2019
Audience: College/higher education , General/trade , Primary , ELT Advanced
Format: Hardback
Publisher's Status: Active

Dr. Adwitiya Sinha received her PhD from Jawaharlal Nehru University (JNU), New Delhi. She is a recipient of a Senior Research Fellowship from CSIR, New Delhi, India and a UGC Research Scholarship. Her application-based research is mainly focused on large-scale graphs, data analytics, and confluence of sensor-based applications with social networking. Megha Rathi has 10 years of teaching experience. She has worked on the Xform generator research project of at NIC, Delhi. She has experience in software development and worked as a Project Associate at IIT Delhi. Her research areas include Data Mining, Data Science Analytics, Health Science, and Machine Learning.