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Bioinformatics And Medical Applications Big Data Using Deep Learning Algorithm A Suresh

  • SKU: BELL-42455422
Bioinformatics And Medical Applications Big Data Using Deep Learning Algorithm A Suresh
$ 31.00 $ 45.00 (-31%)

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Bioinformatics And Medical Applications Big Data Using Deep Learning Algorithm A Suresh instant download after payment.

Publisher: Wiley-Scrivener
File Extension: PDF
File size: 33.94 MB
Pages: 343
Author: A. Suresh, S. Vimal, Y. Harold Robinson, Dhinesh Kumar Ramaswami, R. Udendhran
ISBN: 9781119791836, 1119791839
Language: English
Year: 2022

Product desciption

Bioinformatics And Medical Applications Big Data Using Deep Learning Algorithm A Suresh by A. Suresh, S. Vimal, Y. Harold Robinson, Dhinesh Kumar Ramaswami, R. Udendhran 9781119791836, 1119791839 instant download after payment.

BIOINFORMATICS AND MEDICAL APPLICATIONSThe main topics addressed in this book are big data analytics problems in bioinformatics research such as microarray data analysis, sequence analysis, genomics-based analytics, disease network analysis, techniques for big data analytics, and health information technology.
Bioinformatics and Medical Applications: Big Data Using Deep Learning Algorithms analyses massive biological datasets using computational approaches and the latest cutting-edge technologies to capture and interpret biological data. The book delivers various bioinformatics computational methods used to identify diseases at an early stage by assembling cutting-edge resources into a single collection designed to enlighten the reader on topics focusing on computer science, mathematics, and biology. In modern biology and medicine, bioinformatics is critical for data management. This book explains the bioinformatician’s important tools and examines how they are used to evaluate biological data and advance disease knowledge.
The editors have curated a distinguished group of perceptive and concise chapters that presents the current state of medical treatments and systems and offers emerging solutions for a more personalized approach to healthcare. Applying deep learning techniques for data-driven solutions in health information allows automated analysis whose method can be more advantageous in supporting the problems arising from medical and health-related information.
Audience
The primary audience for the book includes specialists, researchers, postgraduates, designers, experts, and engineers, who are occupied with biometric research and security-related issues.

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