Bioinformatics and Medical Applications: Big Data Using Deep Learning Algorithms

Bioinformatics and Medical Applications: Big Data Using Deep Learning Algorithms 1st Edition
Author: A. Suresh,S. Vimal,Y. Harold Robinson,Dhinesh Kumar Ramaswami,R. Udendhran (Editor)

Publisher Finelybook 出版社:‎Wiley-Scrivener; 1st edition (April 12, 2022)
Language 语言:English
Hardcover ‎352 pages
ISBN-10 书号:‎1119791839
ISBN-13 书号:‎9781119791836

Book Description
Bioinformatics and Medical Applications
The 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 Author: 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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