Applied Intelligence for Healthcare Informatics (Hardcover)

Nazmul Siddique

ISBN 10: 1032950560 / ISBN 13: 9781032950563

Edité par Taylor & Francis Ltd, London, 2025

A propos de cet article

Hardcover. AI is revolutionizing healthcare, transforming diagnostics, treatment, and patient care. Applied Intelligence for Healthcare Informatics: Techniques and Applications explores cutting-edge AI solutions for disease prediction, medical imaging, mental health analysis, and healthcare decision-making. Covering topics like heart disease prediction, COVID-19 detection, breast cancer classification, and ethical AI challenges, this book bridges theory with real-world applications. A must-read for researchers, practitioners, and innovators, it offers insights into the future of AI-driven healthcare. This book explores cutting-edge AI solutions for disease prediction, medical imaging, mental health analysis, and healthcare decision-making. A must-read for researchers, practitioners, and innovators, it offers insights into the future of AI-driven healthcare. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

N° de réf. du vendeur 9781032950563

Détails bibliographiques

• Titre: Applied Intelligence for Healthcare Informatics (Hardcover)
• Éditeur: Taylor & Francis Ltd, London
• Date de parution: 2025
• Langue: anglais
• ISBN à 10 chiffres: 1032950560
• ISBN à 13 chiffres: 9781032950563
• Reliure: Hardcover
• État de l'article: new

A propos de ce titre

Synopsis

AI is revolutionizing healthcare, transforming diagnostics, treatment, and patient care. Applied Intelligence for Healthcare Informatics: Techniques and Applications explores cutting-edge AI solutions for disease prediction, medical imaging, mental health analysis, and healthcare decision-making.

Covering topics like heart disease prediction, COVID-19 detection, breast cancer classification, and ethical AI challenges, this book bridges theory with real-world applications. A must-read for researchers, practitioners, and innovators, it offers insights into the future of AI-driven healthcare.

À propos de l?auteur

Dr. Nazmul Siddique is a researcher at the School of Computing, Engineering, and Intelligent Systems, Ulster University. He has published over 170 research papers and several books on cybernetics and computational intelligence. His editorial roles in top journals highlight his academic influence and contributions.

Dr. Mohammad Shamsul Arefin is a professor at the Department of CSE, CUET, and Dean of Electrical and Computer Engineering. He has over 170 publications in journals and conferences on data mining, distributed computing, and machine learning. His leadership has significantly fostered research growth and academic excellence in many aspects.

Dr. Md Zahid Hasan is an Associate Professor in the Department of Computer Science and Engineering at Daffodil International University. His research expertise includes machine learning, artificial intelligence, deep learning, bioinformatics, computer vision, health informatics, and decision theory. He has published over 60 articles in high-ranking journals and conferences and is the director of the Health Informatics Research Lab (HIRL).

Dr. M Shamim Kaiser is a professor and Chairman at the Institute of Information Technology, Jahangirnagar University. He has authored over 100 research papers on machine learning, cyber security, and cognitive radio networks. His leadership at IIT has driven academic and research excellence in ICT.