Artificial Intelligence and Machine Learning for Women's Health Issues

D. Jude Hemanth

ISBN 10: 0443218897 / ISBN 13: 9780443218897

Verlag: Elsevier Science Publishing Co Inc Apr 2024, 2024

Beschreibung

Neuware - Artificial Intelligence and Machine Learning for Women's Health Issues discusses the applications, challenges, and solutions that machine learning can bring to women's health challenges. The book illustrates advanced, innovative techniques, frameworks, concepts, and methodologies of machine learning which enhance the future healthcare system. This book's primary focus is on women's health issues and machine learning's role in providing solutions to these challenges, providing novel ideas for feasible implementation. It also provides an early-stage analysis for early diagnosis of women's health issues.

Bestandsnummer des Verkäufers 9780443218897

Bibliografische Details

• Titel: Artificial Intelligence and Machine Learning for Women's Health Issues
• Verlag: Elsevier Science Publishing Co Inc Apr 2024
• Erscheinungsjahr: 2024
• Sprache: Englisch
• ISBN-10: 0443218897
• ISBN-13: 9780443218897
• Einband: Taschenbuch
• Zustand: Neu
• Abmessungen: 228B x 152 H x 18 T Millimeter Breite: 228 mm, Höhe: 152 mm, Tiefe: 18 mm
• Gewicht: 472 Gramm

Über diesen Titel

Inhaltsangabe

Artificial Intelligence and Machine Learning for Women’s Health Issues discusses the applications, challenges, and solutions that machine learning can bring to women’s health challenges. The book illustrates advanced, innovative techniques, frameworks, concepts, and methodologies of machine learning which enhance the future healthcare system. This book's primary focus is on women’s health issues and machine learning's role in providing solutions to these challenges, providing novel ideas for feasible implementation. It also provides an early-stage analysis for early diagnosis of women’s health issues.

• Provides fundamental concepts and analysis of machine learning algorithms used to aid in the diagnosis of women’s health issues
• Guides researchers to specific ideas, tools, and practices most applicable to product/service development, innovation problems, and opportunities
• Provides hands-on chapters that describe frameworks, applications, best practices, and case studies of future directions of applied machine learning in women’s healthcare

Über die Autorinnen und Autoren

Dr. Meenu Gupta is an Associate Professor at the UIE-CSE Department, Chandigarh University, India. She completed her Ph.D. in Computer Science and Engineering with an emphasis on Traffic Accident Severity Problems from Ansal University, Gurgaon, India, in 2020. She has more than 15 years of teaching experience. Her research areas cover Machine Learning, Intelligent Systems, and Data mining, with a specific interest in Artificial Intelligence, Image Processing and Analysis, Smart Cities, Data Analysis, and Human/Brain-machine Interaction (BMI). She has five edited and four authored books. She has also authored or co-authored more than 20 book chapters and over 80 papers in refereed international journals and conferences. She has five filled patents and was awarded the best faculty and department researcher in 2021 and 2022.

Dr. D. Jude Hemanth is currently working as a professor in Department of ECE, Karunya University, Coimbatore, India. He also holds the position of “Visiting Professor” in Faculty of Electrical Engineering and Information Technology, University of Oradea, Romania. He also serves as the “Research Scientist” of Computational Intelligence and Information Systems (CI2S) Lab, Argentina; LAPISCO research lab, Brazil; RIADI Lab, Tunisia; Research Centre for Applied Intelligence, University of Craiova, Romania and e-health and telemedicine group, University of Valladolid, Spain.
Dr. Hemanth received his B.E degree in ECE from Bharathiar University in 2002, M.E degree in communication systems from Anna University in 2006 and Ph.D. from Karunya University in 2013. He has published 37 edited books with reputed publishers such as Elsevier, Springer and IET. His research areas include Computational Intelligence and Image processing. He has authored more than 200 research papers in reputed SCIE indexed International Journals and Scopus indexed International Conferences.