Artificial Intelligence and Machine Learning for Womens Health Issues

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 issuesGuides researchers to specific ideas, tools, and practices most applicable to product/service development, innovation problems, and opportunitiesProvides hands-on chapters that describe frameworks, applications, best practices, and case studies of future directions of applied machine learning in women’s healthcare INDICE: 1. Role of Artificial Intelligence in Gynecology and Obstetrics2. Prediction of Female Pregnancy Complication using Artificial Intelligence3. Early Stage Prediction of Endometriosis Cancer Using Fuzzy Machine Learning Technique4. Artificial Intelligence approaches for ultrasound examination in pregnancy5. Early assessment of pregnancy using machine learning6. Ensemble learning-based analysis of perinatal health disorders in women7. Machine learning applications to predict gestational diabetes in early pregnancy8. Contribution of artificial intelligence to improve women health in pregnancy9. Artificial Intelligence based Prediction of Health Risks Among Women during Menopause10. Mammography Screening of Women in Forties: Benefits and Risks11. Machine learning approach to predict the early assessment of Post partum depression12. Artificial intelligence approaches for polycystic ovarian syndrome13. Improving women's mental health through AI-powered interventions and diagnoses14. Early stage breast cancer diagnostics using Vision Transformers15. Recent and Future Applications of Artificial Intelligence in Obstetric Ultrasound Examination16. Deadly Canker of Cervix Tackled With Early Diagnosis using Machine Learning17. AI, Women's health care and Trust: Problems and Prospects18. Role of Artificial Intelligence and Machine learning in women's health: Challenges and Solutions

• ISBN: 978-0-443-21889-7
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 290
• Fecha Publicación: 30/04/2024
• Nº Volúmenes: 1
• Idioma: Inglés