finelybook
Artificial Intelligence for Predictive Healthcare: Towards Personalized Treatment and Disease Prevention
Author(s): Syed Nisar Hussain Bukhari (Editor)
- Publisher finelybook 出版社: Auerbach Publications
- Publication Date 出版日期: May 7, 2026
- Edition 版本: 1st
- Language 语言: English
- Print length 页数: 305 pages
- ISBN-10: 1041137559
- ISBN-13: 9781041137559
Book Description
Artificial intelligence (AI) and predictive technology are revolutionizing healthcare by enabling more accurate diagnoses, personalized treatment plans, and proactive patient care. They can forecast disease progression, predict patient readmission risks, identify individuals at high risk for conditions like sepsis or heart failure, and optimize treatment protocols based on individual patient characteristics. By shifting healthcare from a reactive to a predictive model, these technologies not only improve patient outcomes and reduce mortality rates but also significantly lower healthcare costs by preventing complications and reducing unnecessary procedures, ultimately creating a more efficient and effective healthcare ecosystem.
Artificial Intelligence for Predictive Healthcare: Towards Personalized Treatment and Disease Preventiondelves into the algorithms, technologies, and applications that are driving this transformation of healthcare. Highlights include:
- Optimizing diagnosis and treatment plans with AI
- Machine learning and generative AI for cancer diagnosis and treatment
- The evolving role of healthcare professionals in smart healthcare
- Hybrid machine learning algorithms for early prediction of diabetes
Bringing together the perspectives of professionals, researchers, and practitioners working at the intersection of technology and healthcare, the book reflects a shared belief that AI’s role in healthcare is not just about algorithms and data but about improving lives. From predicting disease outbreaks to creating tailored treatment plans, the book covers a range of applications. With real-world examples and case studies, it offers a roadmap to understanding AI’s potential to predict, personalize, and prevent health conditions.
Editorial Reviews
Editorial Reviews
About the Author
Dr. Syed Nisar Hussain Bukhari is an accomplished academician and researcher, currently serving as Scientist-D at the National Institute of Electronics and Information Technology (NIELIT), Srinagar-an institute under the Ministry of Electronics and Information Technology (MeitY), Government of India. He brings over 12 years of experience in teaching, research, and institutional leadership, with a specialized focus on artificial intelligence, machine learning, deep learning, and their interdisciplinary applications.
Dr. Bukhari completed his bachelor’s and master’s degrees in computer applications from the University of Kashmir and earned his PhD in machine learning from the University Institute of Computing, Chandigarh University, in 2022. His research contributions have been published in several high-impact journals, including IEEE Transactions, Nature, Springer, MDPI, and so on. In addition to journal publications, his work has been widely cited in international conferences and book chapters.
He has received multiple Best Paper Awards at various international forums and holds patents for his research innovations. His editorial engagements include authoring and editing books published by CRC Press, Taylor & Francis Group. He is a reviewer for leading journals such as Scientific Reports (Nature), Computers in Biology and Medicine (Elsevier), and Briefings in Bioinformatics (Oxford University Press) and regularly serves as a session chair at Scopus-indexed international conferences. He serves as an academic editor for PLOS One―a prestigious, high-impact factor journal―where he contributes to the peer review and curation of highquality interdisciplinary research. Additionally, he served as a guest editor for two thematic collections of the Journal of Visualized Experiments (JoVE) titled “Recent Advancements in Computational Biology and Bioinformatics” and “Next-Gen Computational Techniques in Medical Imaging and Signal Processing,” highlighting his engagement with emerging research trends and editorial leadership in the field.
As a faculty member, Dr. Bukhari has taught a wide range of technical subjects, including machine learning, Python, web technologies, and data structures, to postgraduate students. He has also led training initiatives in artificial intelligence and emerging technologies for engineering students, professionals, and government stakeholders. Dr. Bukhari led the Department of Information Technology at NIELIT Srinagar, where he played a key role in strengthening undergraduate and postgraduate academic programs. He is currently serving as academic head at NIELIT Srinagar and head, Department of Computer Science and Applications, at NIELIT Deemed to be University, Srinagar Campus.
Known for his collaborative spirit, Dr. Bukhari maintains active research partnerships with institutions across India and abroad. He is a member of the Institution of Electronics and Telecommunication Engineers (IETE) and the International Association of Engineers (IAENG). His professional journey reflects a sustained commitment to research excellence, academic mentorship, and the development of impactful, technology-driven solutions.
