Artificial Intelligence and Machine Learning for Women's Health Issues

Meenu Gupta,D. Jude Hemanth

• Verlag: Academic Press
• Jahr: 2024
• ISBN:
  9780443218903
• Thema: Ciencia de la computación
• Thema: Inteligencia artificial (IA) y semántica

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.

• 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

Inhaltsverzeichnis

• Cover image
• Title page
• Table of Contents
• Copyright
• Contributors
• Chapter 1 Role of artificial intelligence in gynecology and obstetrics
• Chapter 2 Prediction of female pregnancy complication using artificial intelligence
• Chapter 3 Early stage prediction of endometriosis cancer using fuzzy machine learning technique
• Chapter 4 Artificial intelligence approaches for ultrasound examination in pregnancy
• Chapter 5 Early assessment of pregnancy using machine learning
• Chapter 6 Ensemble learning-based analysis of perinatal disorders in women
• Chapter 7 Machine learning approaches to predict gestational diabetes in early pregnancy
• Chapter 8 Contribution of artificial intelligence to improving women’s health in pregnancy
• Chapter 9 Artificial intelligence-based prediction of health risks among women during menopause
• Chapter 10 Mammography screening of women in their forties: Benefits and risks
• Chapter 11 Machine learning approach for early prediction of postpartum depression
• Chapter 12 Improving women’s mental health through AI-powered interventions and diagnoses
• Chapter 13 Artificial intelligence and machine learning for early-stage breast cancer diagnosis in women using vision transformers
• Chapter 14 Recent and future applications of artificial intelligence in obstetric ultrasound examination
• Chapter 15 Deadly cancer of cervix tackled with early diagnosis using machine learning
• Chapter 16 AI, women’s health care, and trust: Problems and prospects
• Chapter 17 Role of artificial intelligence and machine learning in women’s health
• Index