Combating women's health issues with machine learning challenges and solutions / edited by Meenu Gupta and D. Jude Hemanth.
| Other author | Gupta, Meenu, (Professor of computer science) |
| Other author | Hemanth, D. Jude. |
| Format | Electronic |
| Edition | First edition. |
| Publication Info | Boca Raton ; London : CRC Press, Taylor & Francis Group, 2024. |
| Description | 1 online resource |
| Supplemental Content | Full text available from eBooks on EBSCOhost |
| Subjects |
| Abstract | "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. Combating Female 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 medical issues faced by women as they relate to age. 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 Type2 diabetes care and its management as it relates to gender using artificial intelligence. The book also discusses advanced techniques to 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 interested looking to better understand and develop applications of ML/DL in healthcare scenarios, especially in relation to women's health conditions"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Source of description | Description based on print version record and CIP data provided by publisher. |
| Issued in other form | Print version: Combating women's health issues with machine learning First edition. Boca Raton ; London : CRC Press, Taylor & Francis Group, 2024 9781032455198 |
| Genre/form | Electronic books. |
| LCCN | 2023019418 |
| ISBN | 9781000964691 (epub) |
| ISBN | 9781003378556 (ebook) |
| ISBN | (hardback) |
| ISBN | (paperback) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |