AI-Driven Alzheimer's Disease Detection and Prediction - Couverture rigide

Couverture rigide

ISBN 13 : 9798369336052

Editeur : IGI Global, 2024

Synopsis

Alzheimer's disease (AD) poses a significant global health challenge, with an estimated 50 million people affected worldwide and no known cure. Traditional methods of diagnosis and prediction often rely on subjective assessments. They are limited in detecting the disease early, leading to delayed intervention and poorer patient outcomes. Additionally, the complexity of AD, with its multifactorial etiology and diverse clinical manifestations, requires a multidisciplinary approach for effective management. AI-Driven Alzheimer's Disease Detection and Prediction offers a groundbreaking solution by leveraging advanced artificial intelligence (AI) techniques to enhance early diagnosis and prediction of AD. This edited book provides a comprehensive overview of state-of-the-art research, methodologies, and applications at the intersection of AI and AD detection. By bridging the gap between traditional diagnostic methods and cutting-edge technology, this book facilitates knowledge exchange, fosters interdisciplinary collaboration, and contributes to innovative solutions for AD management.

A propos du livre

À propos des auteurs

Umesh Kumar Lilhore is currently a Professor at the School of Computing Science & Engineering (CSE) at Galgotia University, Greater Noida. With over 19 years of teaching and 8 years of research experience, he has previously held positions at various renowned universities and colleges in India and abroad. Dr. Lilhore holds a Ph.D. and M.Tech in CSE and has completed his postdoctoral research at the Institute of Advanced Computing, University of Louisiana at Lafayette. He has a strong publication record with articles in reputed, peer-reviewed national and international Scopus journals and conferences.

With Abhineet Anand's 23+ years of academic and administrative experience, his research includes the following field of endeavour: Cloud Computing, Cloud Security, Decision Tree, nearest neighbour method, Clustering, Rule induction, Optical Fibre Switching in Wavelength Multiplexing, Automata Theory. He has published more than 14 SCI, 53+ Scopus indexed papers, 20+ papers in International conference, 12 Intentional Journal, 3 National Journal, and 3 National Conference with 6 Book with prestigious publishers.

Abhishek Kumar is currently working as an Assistant Director in the Computer Science & Engineering Department at Chandigarh University, Punjab, India. is doing Post-Doctoral Fellow in Ingenium Research Group Ingenium Research Group Lab, Universidad De Castilla- La Mancha, Ciudad Real, and Ciudad Real Spain. He has total Academic teaching experience of more than 12 years along with 2 years teaching assistantship. He has more than 160 publications in reputed, peer-reviewed National and International Journals, books & Conferences He has authored/Co-Authored 7 books published internationally and edited 39 books (Published & ongoing with IET, Elsevier, Wiley, IGI GLOBAL Springer, Apple Academic Press, De-Gruyter and CRC, etc. He is Patent holder and got Sir CV Raman National award for 2018 in young researcher and faculty Category from IJRP Group. He is acting as Series Editor for three books series, Quantum Computing with Degruyter Germany, Intelligent Energy System with Elsevier, & Mathematical Methods in the Digital Age: Computational Intelligence & Advancements.

Détails de l'édition

• Éditeur: IGI Global
• Date d'édition: 2024
• Langue: anglais
• ISBN 13: 9798369336052
• Reliure: Relié
• Nombre de pages: 350
• Éditeur: Lilhore Umesh Kumar, Anand Abhineet, Kumar Abhishek, Yadav Satya Prakash, Vyas Narayan
• Coordonnées du fabricant: non disponible
• Personne responsable: gpsr@libri.de; gpsr@libri.de; ; Europaallee 1; Bad Hersfeld; 36244; Allemagne