Combating women's health issues with machine learning : challenges and solutions /: challenges and solutions. (2023)

• Record Type: Book
• Further Information: Note: Edited by Meenu Gupta and D. Jude Hemanth.
• Editors: (Professor of computer science), Gupta, Meenu; Hemanth, D. Jude
• Contents: 1. Role of Machine Learning in Women’s Health: A Review Analysis Ritika Arora, Sharad Chauhan and Harpreet Kaur 2. Predicting Anxiety, Depression and Stress in Women Using Machine Learning Algorithms Kalpana Katiyar, Hera Fatma and Simran Singh 3. Gender-based Analysis of the Impact of Cardiovascular Disease Using Machine Learning: A Comparative Analysis Ajit Kumar Varma, Arpita Choudhary and Priti Tagde 4. Lifestyle and Dietary Management Associated with Chronic Diseases in Women Using Deep Learning Rajdeep Kaur, Rakesh Kumar and Meenu Gupta 5. Gender Differences in Diabetes Care and Management Using AI. Pawan Whig, Shama Kouser, Tabrej Ahamad Khan, Syed Ali Mehdi, Naved Alam and Rahul Reddy Nadikattu 6. Prenatal Ultrasound Diagnosis Using Deep Learning Approaches P. Nagaraja, S. Lakshmanan, P.Shanmugavadivu and M. Mary Shanthi Rani. 7. Deep Convolutional Neural Network for the Prediction of Ovarian Cancer S.Lakshmanan, P.Nagaraja, M.Mary Shanthi Rani and P. Shanmugavadivu 8. Risk Prediction and Diagnosis of Breast Cancer Using ML Algorithms. Neeru Saxena, Rashmi Vaishnav, Surya Saxena and Umesh Kumar 9. Comparative Analysis of Machine Learning Algorithms to Diagnose Polycystic Ovary Syndrome Arpit Raj, Poonam Joshi, Sarika Devi and Sapna Rawat. 10. A Comparative Analysis of Machine Learning Approaches in Endometrial Cancer Chaitanya Pandey, Nitya Nagpal, Rahul Khurana and Preeti Nagrath 11. Machine Learning Algorithm-Based Early Prediction of Diabetes: A New Feature Selection Using Correlation Matrix with Heat Map Salliah Shafi Bhat and Gufran Ahmad Ansari 12. Analyzing Factors for Improving Pregnancy Outcomes Using Machine Learning. Sarika Devi, Arpit Raj, Poonam Joshi and Sapna Rawat 13. Future Consideration and Challenges in Women's Health Using AI C. Prakash, L. P. Singh, A Gupta, R Kumar and A Bhardwaj.
• Edition: 1st
• Publisher Details: Boca Raton : CRC Press
• Publication Date: 2023
• Extent: 1 online resource (238 pages), illustrations (black and white, and colour)
• Subjects: 616.075082; Women -- Diseases -- Diagnosis; Diagnosis -- Data processing; Artificial intelligence -- Medical applications
• Languages: English
• ISBNs: 9781000964691
• Notes: Note: Includes bibliographical references and index.; Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.