Artificial Intelligence and Machine Learning for Women’s Health Issues: Challenges, Impact, and Solutions discusses the applications, challenges, and solutions that machine learning can bring to women’s health challenges. This 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.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iii 6. Contributors - p. xv 7. Chapter 1. Role of artificial intelligence in gynecology and obstetrics - p. 8 8. Chapter 2. Prediction of female pregnancy complication using artificial intelligence - p. 17 9. Chapter 3. Early stage prediction of endometriosis cancer using fuzzy machine learning technique - p. 50 10. Chapter 4. Artificial intelligence approaches for ultrasound examination in pregnancy - p. 60 11. Chapter 5. Early assessment of pregnancy using machine learning - p. 79 12. Chapter 6. Ensemble learning-based analysis of perinatal disorders in women - p. 91 13. Chapter 7. Machine learning approaches to predict gestational diabetes in early pregnancy - p. 107 14. Chapter 8. Contribution of artificial intelligence to improving women’s health in pregnancy - p. 121 15. Chapter 9. Artificial intelligence-based prediction of health risks among women during menopause - p. 144 16. Chapter 10. Mammography screening of women in their forties: Benefits and risks - p. 151 17. Chapter 11. Machine learning approach for early prediction of postpartum depression - p. 163 18. Chapter 12. Improving women’s mental health through AI-powered interventions and diagnoses - p. 173 19. Chapter 13. Artificial intelligence and machine learning for early-stage breast cancer diagnosis in women using vision transformers - p. 193 20. Chapter 14. Recent and future applications of artificial intelligence in obstetric ultrasound examination - p. 207 21. Chapter 15. Deadly cancer of cervix tackled with early diagnosis using machine learning - p. 229 22. Chapter 16. AI, women’s health care, and trust: Problems and prospects - p. 235 23. Chapter 17. Role of artificial intelligence and machine learning in women’s health - p. 255 24. Index - p. 267
Artificial Intelligence and Machine Learning for Women’s Health Issues: Challenges, Impact, and Solutions discusses the applications, challenges, and solutions that machine learning can bring to women’s health challenges. This 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.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iii 6. Contributors - p. xv 7. Chapter 1. Role of artificial intelligence in gynecology and obstetrics - p. 8 8. Chapter 2. Prediction of female pregnancy complication using artificial intelligence - p. 17 9. Chapter 3. Early stage prediction of endometriosis cancer using fuzzy machine learning technique - p. 50 10. Chapter 4. Artificial intelligence approaches for ultrasound examination in pregnancy - p. 60 11. Chapter 5. Early assessment of pregnancy using machine learning - p. 79 12. Chapter 6. Ensemble learning-based analysis of perinatal disorders in women - p. 91 13. Chapter 7. Machine learning approaches to predict gestational diabetes in early pregnancy - p. 107 14. Chapter 8. Contribution of artificial intelligence to improving women’s health in pregnancy - p. 121 15. Chapter 9. Artificial intelligence-based prediction of health risks among women during menopause - p. 144 16. Chapter 10. Mammography screening of women in their forties: Benefits and risks - p. 151 17. Chapter 11. Machine learning approach for early prediction of postpartum depression - p. 163 18. Chapter 12. Improving women’s mental health through AI-powered interventions and diagnoses - p. 173 19. Chapter 13. Artificial intelligence and machine learning for early-stage breast cancer diagnosis in women using vision transformers - p. 193 20. Chapter 14. Recent and future applications of artificial intelligence in obstetric ultrasound examination - p. 207 21. Chapter 15. Deadly cancer of cervix tackled with early diagnosis using machine learning - p. 229 22. Chapter 16. AI, women’s health care, and trust: Problems and prospects - p. 235 23. Chapter 17. Role of artificial intelligence and machine learning in women’s health - p. 255 24. Index - p. 267
