Combating Women’s Health Issues with Machine Learning: Challenges and Solutions

This book, edited by D. Jude Hemanth, delves into the crucial topic of women’s health and the significant role machine learning can play in addressing the challenges faced by women of all ages.

Advanced Techniques for Enhancing Healthcare

The authors of this comprehensive book illustrate innovative techniques, frameworks, and concepts in machine learning, ultimately enhancing the future of the healthcare system. By examining the fundamental concepts and analysis of machine learning algorithms, healthcare professionals can develop more accurate predictive models for various women’s health issues.

New Approaches to Diagnosing and Managing Women’s Health Issues

The book covers a wide range of topics, including:

• Diagnosing breast and ovarian cancer using machine learning
• Utilizing deep learning in prenatal ultrasound diagnosis
• Constructing the most accurate predictive model for women’s infertility risk using the best machine learning classifier
• Gender differences in type 2 diabetes care and management using artificial intelligence
• Advanced techniques for evaluating and managing cardiovascular disease symptoms, which are more common in women but often overlooked or misdiagnosed

Future Considerations and Challenges in Women’s Health

The book concludes by presenting insights into the future of women’s health using artificial intelligence, highlighting the challenges and opportunities that lie ahead.

This book is an essential resource for medical researchers, healthcare technicians, scientists, programmers, and graduate-level students seeking to understand and develop applications of machine learning and deep learning in healthcare scenarios, particularly concerning women’s health conditions.

Publisher: CRC Press
Release Date: October 23, 2023
Language: English
ISBN: 9781032455198, 9781000964684