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OverviewArtificial 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. Full Product DetailsAuthor: Meenu Gupta, PhD (Associate Professor, Department of Computer Science and Engineering University Centre of Research and Development Chandigarh University, Punjab, India.) , D. Jude Hemanth (Professor, ECE Department, Karunya Institute of Technology and Sciences, Coimbatore, India)Publisher: Elsevier Science Publishing Co Inc Imprint: Academic Press Inc Weight: 0.450kg ISBN: 9780443218897ISBN 10: 0443218897 Pages: 290 Publication Date: 01 May 2024 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Forthcoming Availability: Not yet available  This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release. Table of Contents1. Role of Artificial Intelligence in Gynecology and Obstetrics 2. Prediction of Female Pregnancy Complication using Artificial Intelligence 3. Early Stage Prediction of Endometriosis Cancer Using Fuzzy Machine Learning Technique 4. Artificial Intelligence approaches for ultrasound examination in pregnancy 5. Early assessment of pregnancy using machine learning 6. Ensemble learning-based analysis of perinatal health disorders in women 7. Machine learning applications to predict gestational diabetes in early pregnancy 8. Contribution of artificial intelligence to improve women health in pregnancy 9. Artificial Intelligence based Prediction of Health Risks Among Women during Menopause 10. Mammography Screening of Women in Forties: Benefits and Risks 11. Machine learning approach to predict the early assessment of Post partum depression 12. Artificial intelligence approaches for polycystic ovarian syndrome 13. Improving women's mental health through AI-powered interventions and diagnoses 14. Early stage breast cancer diagnostics using Vision Transformers 15. Recent and Future Applications of Artificial Intelligence in Obstetric Ultrasound Examination 16. Deadly Canker of Cervix Tackled With Early Diagnosis using Machine Learning 17. AI, Women’s health care and Trust: Problems and Prospects 18. Role of Artificial Intelligence and Machine learning in women's health: Challenges and SolutionsReviewsAuthor InformationDr. 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. Tab Content 6Author Website:Countries AvailableAll regions |
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