Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	April 2022
Genre:	EDV / Informatik
	Artificial Intelligence / Big Data / Bioinformatik / Biomedical engineering / Biomedizintechnik / computer science / Deep Learning / Electrical & Electronics Engineering / Elektrotechnik u. Elektronik / Informatik / Intelligent Systems & Agents / Intelligente Systeme u. Agenten / Künstliche Intelligenz / Medical Informatics & Biomedical Information Technology / Medizininformatik u. biomedizinische Informationstechnologie / Medizinische Informatik
ISBN:	9781119791836
EAN-Code:	9781119791836
Verlag:	Wiley
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 238 mm / B 68 mm / D 24 mm
Gewicht:	614 gr
Seiten:	352
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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 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.