Intelligent data analytics for bioinformatics and biomedical systems

• Titel: Intelligent data analytics for bioinformatics and biomedical systems
• Mitwirkende: Sharma, Neha [HerausgeberIn]
• Mitwirkende: Cengiz, Korhan [HerausgeberIn]
• Mitwirkende: Chatterjee, Prasenjit [HerausgeberIn]
• Verf.angabe: edited by Neha Sharma, Korhan Cengiz, and Prasenjit Chatterjee
• Verlagsort: Hoboken, NJ ; Beverly, MA
• Verlagsort: Hoboken, NJ ; Beverly, MA
• Verlag: John Wiley & Sons, Inc.
• Verlag: Scrivener Publishing LLC
• Jahr: 2024
• Jahr: 2024
• Umfang: 1 online resource (433 p.).
• Gesamttitel/Reihe: Sustainable computing and optimization
• Fussnoten: Description based on online resource; title from digital title page (viewed on October 16, 2024)
• ISBN: 978-1-394-27091-0
• ISBN: 1-394-27091-7
• ISBN: 978-1-394-27090-3
• ISBN: 1-394-27090-9
• ISBN: 978-1-394-27088-0
• Datenträger: Online-Ressource
• Sprache: eng
• Bibliogr. Hinweis: Erscheint auch als : Druck-Ausgabe
• Sach-SW: Bio-informatique
• K10plus-PPN: 1914061365
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4648238842
• Lokale URL Inst.: Zum Volltext

Abstract

The book analyzes the combination of intelligent data analytics with the intricacies of biological data that has become a crucial factor for innovation and growth in the fast-changing field of bioinformatics and biomedical systems. Intelligent Data Analytics for Bioinformatics and Biomedical Systems delves into the transformative nature of data analytics for bioinformatics and biomedical research. It offers a thorough examination of advanced techniques, methodologies, and applications that utilize intelligence to improve results in the healthcare sector. With the exponential growth of data in these domains, the book explores how computational intelligence and advanced analytic techniques can be harnessed to extract insights, drive informed decisions, and unlock hidden patterns from vast datasets. From genomic analysis to disease diagnostics and personalized medicine, the book aims to showcase intelligent approaches that enable researchers, clinicians, and data scientists to unravel complex biological processes and make significant strides in understanding human health and diseases. This book is divided into three sections, each focusing on computational intelligence and data sets in biomedical systems. The first section discusses the fundamental concepts of computational intelligence and big data in the context of bioinformatics. This section emphasizes data mining, pattern recognition, and knowledge discovery for bioinformatics applications. The second part talks about computational intelligence and big data in biomedical systems. Based on how these advanced techniques are utilized in the system, this section discusses how personalized medicine and precision healthcare enable treatment based on individual data and genetic profiles. The last section investigates the challenges and future directions of computational intelligence and big data in bioinformatics and biomedical systems. This section concludes with discussions on the potential impact of computational intelligence on addressing global healthcare challenges. Audience Intelligent Data Analytics for Bioinformatics and Biomedical Systems is primarily targeted to professionals and researchers in bioinformatics, genetics, molecular biology, biomedical engineering, and healthcare. The book will also suit academicians, students, and professionals working in pharmaceuticals and interpreting biomedical data.