9781032457529 - Combating Women's Health Issues with Machine Learning: Challenges and Solutions (16 risultati)

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New. pages cm.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New. pages cm 1st edition Includes bibliographical references and index.

Paperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.

Condizione: New. In.

Condizione: New. pages cm.

Paperback. Condizione: Brand New. 250 pages. 9.18x6.12x9.21 inches. In Stock.

Paperback. Condizione: new. Paperback. The main focus of this book is the examination of womens 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 Womens 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 womens 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 womens 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 womens health conditions. The main focus of this book is the examination of health issues faced by women and the role of machine learning can play as a solution to these challenges. It will illustrate advanced, innovative techniques/frameworks/concepts/ methodologies of machine learning which will enhance the future healthcare system. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condizione: new. Paperback. The main focus of this book is the examination of womens 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 Womens 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 womens 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 womens 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 womens health conditions. The main focus of this book is the examination of health issues faced by women and the role of machine learning can play as a solution to these challenges. It will illustrate advanced, innovative techniques/frameworks/concepts/ methodologies of machine learning which will enhance the future healthcare system. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condizione: new. Paperback. The main focus of this book is the examination of womens 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 Womens 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 womens 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 womens 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 womens health conditions. The main focus of this book is the examination of health issues faced by women and the role of machine learning can play as a solution to these challenges. It will illustrate advanced, innovative techniques/frameworks/concepts/ methodologies of machine learning which will enhance the future healthcare system. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The main focus of this book is the examination of health issues faced by women and the role of machine learning can play as a solution to these challenges. It will illustrate advanced, innovative techniques/frameworks/concepts/ methodologies of machine learning which will enhance the future healthcare system.