Combating Women's Health Issues with Machine Learning: Challenges and Solutions
暫譯: 利用機器學習應對女性健康問題：挑戰與解決方案
Hemanth, D., Gupta, Meenu
- 出版商: CRC
- 出版日期: 2025-04-14
- 售價: $2,580
- 貴賓價: 9.5 折 $2,451
- 語言: 英文
- 頁數: 238
- 裝訂: Quality Paper - also called trade paper
- ISBN: 103245752X
- ISBN-13: 9781032457529
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相關分類:
Machine Learning
尚未上市，無法訂購
相關主題
商品描述
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.
商品描述(中文翻譯)
本書的主要焦點是探討女性健康問題以及機器學習在解決這些挑戰中所能扮演的角色。本書將展示先進的創新技術/框架/概念/機器學習方法，提升未來的醫療系統。《以機器學習應對女性健康問題：挑戰與解決方案》探討了機器學習演算法的基本概念和分析。
本書的編輯和作者探討了女性面臨的不同年齡相關醫療問題的新方法。主題涵蓋從診斷乳腺癌和卵巢癌等疾病到在產前超音波診斷中使用深度學習。作者還研究了構建最準確的女性不孕風險預測模型的最佳機器學習分類器。討論的主題包括在2型糖尿病護理及其管理中，性別差異如何影響使用人工智慧的相關性。本書還討論了評估和管理心血管疾病症狀的先進技術，這些症狀在女性中更為常見，但常常被許多醫療提供者忽視或誤診。
本書最後提出了在女性健康領域中使用人工智慧的未來考量和挑戰。本書旨在幫助醫學研究人員、醫療技術人員、科學家、程式設計師以及希望更好理解和開發機器學習/深度學習在醫療情境中應用的研究生，特別是針對女性健康狀況的應用。
作者簡介
Meenu Gupta is Associate Professor in the UIE-CSE Department at Chandigarh University, India. She completed her PhD in Computer Science and Engineering with an emphasis on Traffic Accident Severity Problems from Ansal University, India, in 2020. She has more than 14 years of teaching experience. Her research areas cover machine learning, intelligent systems and data mining, with a specific interest in artificial intelligence, image processing and analysis, smart cities, data analysis and human/brain-machine interaction (BMI). She has edited five books and authored four engineering books. She reviews several journals, including Big Data, CMC, Scientific Reports and TSP. She is a life member of ISTE and IAENG. She has authored or co-authored more than 30 book chapters and over 80 papers in refereed international journals and conferences.
D. Jude Hemanth is Associate Professor in the Department of ECE at Karunya University, India. He also holds the "Visiting Professor" position in the Faculty of Electrical Engineering and Information Technology at the University of Oradea, Romania. He received his BE degree in ECE from Bharathiar University, India, in 2002, his ME degree in Communication Systems from Anna University, India, in 2006, and his PhD from Karunya University, India, in 2013. His research areas include computational intelligence and image processing, communication systems, biomedical engineering, robotics and healthcare, computational intelligence and information systems, and artificial intelligence. He is also an editor of the Neuroscience Informatics Journal.
作者簡介(中文翻譯)
Meenu Gupta 是印度昌迪加爾大學 (Chandigarh University) UIE-CSE 系所的副教授。她於 2020 年在印度安薩爾大學 (Ansal University) 獲得計算機科學與工程博士學位，專注於交通事故嚴重性問題。她擁有超過 14 年的教學經驗。她的研究領域涵蓋機器學習、智能系統和數據挖掘，特別對人工智慧、影像處理與分析、智慧城市、數據分析以及人類/腦機互動 (BMI) 感興趣。她編輯了五本書籍並撰寫了四本工程書籍。她審稿的期刊包括《Big Data》、《CMC》、《Scientific Reports》和《TSP》。她是 ISTE 和 IAENG 的終身會員。她已撰寫或共同撰寫超過 30 章書籍和 80 篇在國際期刊及會議上發表的論文。
D. Jude Hemanth 是印度卡魯尼亞大學 (Karunya University) 電子與通信工程系的副教授。他同時擔任羅馬尼亞奧拉德大學 (University of Oradea) 電氣工程與資訊技術學院的「訪問教授」。他於 2002 年在印度巴拉提亞大學 (Bharathiar University) 獲得電子與通信工程學士學位，於 2006 年在印度安娜大學 (Anna University) 獲得通信系統碩士學位，並於 2013 年在卡魯尼亞大學獲得博士學位。他的研究領域包括計算智能與影像處理、通信系統、生物醫學工程、機器人技術與醫療保健、計算智能與資訊系統，以及人工智慧。他也是《Neuroscience Informatics Journal》的編輯。
