Name: Combating Women's Health Issues With Machine Learning (Biomedical and Robotics Healthcare) (en Inglés)
Price: 143630.00 CLP
Availability: InStock
Author: Hemanth D.,Gupta Meenu
ISBN: 9781032455198

portada Combating Women's Health Issues With Machine Learning (Biomedical and Robotics Healthcare) (en Inglés)

Formato

Libro Físico

Editorial

Crc Press

Autor

Hemanth D.,Gupta Meenu

Idioma

Inglés

N° páginas

250

Encuadernación

Tapa Dura

ISBN13

9781032455198

N° edición

Combating Women's Health Issues With Machine Learning (Biomedical and Robotics Healthcare) (en Inglés)

Hemanth D.,Gupta Meenu (Autor) · Crc Press · Tapa Dura

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Reseña del libro "Combating Women's Health Issues With Machine Learning (Biomedical and Robotics Healthcare) (en Inglés)"

The main focus of this book is the examination of women's health issues and the role machine learning can play as a solution to these challenges. This book will illustrate advanced, innovative techniques/frameworks/concepts/machine learning methodologies, enhancing the future healthcare system. Combating Women's Health Issues with Machine Learning: Challenges and Solutions examines the fundamental concepts and analysis of machine learning algorithms. The editors and authors of this book examine new approaches for different age-related medical issues that women face. Topics range from diagnosing diseases such as breast and ovarian cancer to using deep learning in prenatal ultrasound diagnosis. The authors also examine the best machine learning classifier for constructing the most accurate predictive model for women's infertility risk. Among the topics discussed are gender differences in type 2 diabetes care and its management as it relates to gender using artificial intelligence. The book also discusses advanced techniques for evaluating and managing cardiovascular disease symptoms, which are more common in women but often overlooked or misdiagnosed by many healthcare providers.The book concludes by presenting future considerations and challenges in the field of women's health using artificial intelligence. This book is intended for medical researchers, healthcare technicians, scientists, programmers and graduate-level students looking to understand better and develop applications of machine learning/deep learning in healthcare scenarios, especially concerning women's health conditions.