Revolutionizing Women’s Health with Machine Learning: Challenges and Solutions

Authored by D. Jude Hemanth, this groundbreaking book delves into the critical examination of women’s health issues and the pivotal role machine learning plays in addressing these challenges. By harnessing advanced, innovative techniques and frameworks, this publication aims to enhance the future healthcare system, ultimately improving women’s health outcomes.

Machine Learning: A Game-Changer in Women’s Healthcare

The book provides an in-depth analysis of machine learning algorithms, exploring novel approaches to tackle age-related medical issues that women face. From diagnosing breast and ovarian cancer to leveraging deep learning in prenatal ultrasound diagnosis, the authors present cutting-edge solutions to combat women’s health issues.

Readers will discover how machine learning can be used to:

• Construct accurate predictive models for women’s infertility risk
• Address gender differences in type 2 diabetes care and management using artificial intelligence
• Evaluate and manage cardiovascular disease symptoms, a critical concern often overlooked or misdiagnosed in women

A Future-Forward Approach to Women’s Health

The book concludes by presenting future considerations and challenges in the field of women’s health, highlighting the potential of artificial intelligence to drive meaningful change. This comprehensive resource is designed for medical researchers, healthcare technicians, scientists, programmers, and graduate-level students seeking to develop applications of machine learning and deep learning in healthcare scenarios, with a focus on women’s health conditions.

Product Details:

Publisher: CRC Press

Publication Date: October 23, 2023

Language: English

ISBN: 9781032455198, 9781000964684