Articoli correlati a Smart Healthcare Systems

Smart Healthcare Systems - Rilegato

 
9780367030568: Smart Healthcare Systems
Rilegato
ISBN 10: 036703056X ISBN 13: 9780367030568
Casa editrice: Chapman and Hall/CRC, 2019

Sinossi

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull'autore

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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Chapman and Hall/CRC
Data di pubblicazione
2019
Lingua
Inglese
ISBN 10 
036703056X
ISBN 13 
9780367030568
Rilegatura
Copertina rigida
Numero edizione
1
Numero di pagine
248
Redattore
Sinha Adwitiya, Rathi Megha
Contatto del produttore
Taylor and Francis, GPSR Taylor and Francis
gpsr@taylorandfrancis.com

Taylor & Francis Verlag GmbH, Kaufingerstraße 24
München
80331
Germania