Machine Learning and Its Applications to Healthcare - Couverture rigide

Couverture rigide

ISBN 10 : 9819548306 ISBN 13 : 9789819548309

Editeur : Springer Verlag, Singapore, 2026

Synopsis

This book offers a comprehensive collection of 35 research contributions on the transformative role of soft computing techniques such as fuzzy logic, neural networks, genetic algorithms, and hybrid methodologies in solving complex problems in healthcare. By aligning its themes with Sustainable Development Goals (SDG 3: Good Health and Well-Being), the book offers a comprehensive analysis of how these technologies are being integrated into medical diagnosis, predictive modeling, disease classification, personalized medicine and healthcare management. Through an exploration of current trends, research advancements and practical implementations, the book demonstrates the immense potential of soft computing to improve healthcare outcomes. It features a wide array of applications, including diagnostic systems for diseases such as cancer, Alzheimer's and cardiovascular conditions, as well as personalized treatment recommendations, patient monitoring systems and medical image analysis. It is aimed at researchers, practitioners and healthcare professionals, seeking to explore and apply advanced computational techniques to the medical field, providing both theoretical insights and practical applications.

A propos du livre

À propos de l?auteur

Millie Pant is Professor in the Department of Applied Mathematics and Scientific Computing at the Indian Institute of Technology Roorkee, Uttrakhand, India. She specializes in data science and artificial intelligence, with significant contributions to optimization algorithms and their applications. She has a robust publication record and has guided numerous Ph.D. and M.Tech. students, reflecting her commitment to research and education in advanced mathematical and computational methods.

Kusum Deep is Full Professor (HAG) in the Department of Mathematics as well as Joint Faculty at the Mehta Family School of Data Science and Artificial Intelligence at the Indian Institute of Technology Roorkee, Uttrakhand, India. Also, she is Visiting Professor, Liverpool Hope University, UK; University of Technology Sydney, Australia; and University of Wollongong, Australia. With B.Sc. Hons and M.Sc. from the Centre for Advanced Studies, Panjab University, Chandigarh, India, she is an M.Phil. gold medalist. She earned her PhD from the University of Roorkee, now the Indian Institute of Technology (IIT) Roorkee, in 1988. She has been a national scholarship holder and a Post-Doctoral from Loughborough University, UK assisted by International Bursary funded by the Commission of European Communities, Brussels. She has won numerous awards like the Khosla Research Award, the UGC Career Award, the Starred Performer of IITR Faculty, best paper awards by the Railway Bulletin of Indian Railways, special facilitation in memory of late Prof. M. C. Puri, the AIAP Excellence Award. She is one of the four women from the IIT Roorkee to feature in the ebook, Women in STEM-2021, celebrating the contributions made by 50 Indian women in STEM published by the Confederation of Indian Industries. According to Stanford University, she falls within the top 2% of the scientists in the world for 2019 and 2020. In 2021 she bagged the prestigious POWER grant awarded by SERB-DST, the Government of India.

Atulya K. Nagar is the Foundation Chair Professor in the School of Mathematics, Computer Science and Engineering as well as Pro Vice-Chancellor (Research) at Liverpool Hope University, United Kingdom. He received a prestigious Commonwealth Fellowship for pursuing his doctorate (DPhil) in applied nonlinear mathematics, which he earned from the University of York (UK) in 1996. He holds BSc (Hons), MSc and MPhil (with distinction) in mathematical physics from the MDS University of Ajmer, Rajasthan, India. He is a fellow of the Institute of Mathematics and Its applications (FIMA) and a fellow of the Higher Education Academy (FHEA). His research expertise is in the area of applied nonlinear analysis, natural computing and systems engineering.

Détails de l'édition

• Éditeur: Springer Verlag, Singapore
• Date d'édition: 2026
• Langue: anglais
• ISBN 10: 9819548306
• ISBN 13: 9789819548309
• Reliure: Relié
• Nombre de pages: 499
• Éditeur: Pant Millie, Deep Kusum, Nagar Atulya K.
• Coordonnées du fabricant: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Allemagne