Transforming Gender-Based Healthcare with AI and Machine Learning
暫譯: 利用AI與機器學習轉型性別基礎醫療保健

Gupta, Meenu, Kumar, Rakesh, Lu, Zhongyu

  • 出版商: CRC
  • 出版日期: 2026-07-19
  • 售價: $2,640
  • 貴賓價: 9.5$2,508
  • 語言: 英文
  • 頁數: 262
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1032753226
  • ISBN-13: 9781032753225
  • 相關分類: Machine Learning
  • 海外代購書籍(需單獨結帳)

商品描述

This book provides a thorough exploration of the intersection between gender-based healthcare disparities and the transformative potential of AI and Machine Learning. It covers a wide range of topics from fundamental concepts to practical applications.

商品描述(中文翻譯)

本書深入探討性別導向的醫療保健差異與人工智慧(AI)及機器學習的轉型潛力之間的交集。內容涵蓋從基本概念到實際應用的廣泛主題。

作者簡介

Dr. Meenu Gupta is an associate professor at the UIE-CSE Department, Chandigarh University, India. She is pursuing her Post Doc Fellowship from MIR Lab, USA. She completed her Ph.D. in Computer Science and Engineering from Ansal University, Gurgaon, India, in 2020. She has more than 16 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 citiers, data analysis, and human/brain machine interaction (BMI). She has edited more than 17 books and authored four engineering books. She reviews several journals including Big Data, Artificial Intelligence Review, CMC, Scientific Reports, and Digital Health. She is a life member of ISTE and IAENG. She is also a senior member of IEEE. she has authored or co-authored more than 37 book chapters and over 200 papers in refereed international journals and conferenced. She also organized many conferences technically sponsored by the IEEE Delhi Section and AIP.

Dr. Rakesh Kumar is professor and associate director at the UIE-CSE Department, Chandigarh University, Punjab, India. He is ursuing his Post Doc Fellowship from MIR Lab, USA. He completed his Ph.D. in Computer Science and Engineering from Punjab Technical University, Jalandhar in 2017. He has more than 20 years of teaching experience. His research interests are IoT, machine learning, and natural language processing. He has edited more than seven books with reputed publishers like Taylor & Francis Group, and authored five books. He works as a reviewer for several journals, including Big Data, CMC, Scientific Reports, TSP, Multimedia Tools and Applications, and IEEE Access. He is a senior member of the IEEE. He has authored or co-authored more than 170 publications in various national and international conferences and journals. He is also an organizer and editor of many international conferences under the ageis of IEEE and AIP.

Dr. Zhongyu Lu is a professor in the Department of Computer Science and is the research group leader of information and system Engineering (ISE) at the Centre of High Intelligent Computing (CHIC). She was previously team leader in the IT department of Charlesworth Group Publishing Company. She successfully led and completed two research projects in XML database systems and document processing in collaboration with Beijing University. Both systems were deployed as part of company commercial productions. Professor Lu is UKCGE Recognized Research Supervisor (UK Council of Postgraduate Education) and has published 11 academic books and more than 200 peer reviewed academic papers. Her research publications have 35,606 reads and 1008 citations by international colleagues, according to incomplete statistics from ResearchGate, Scopus, and Google Scholar. Professor Lu has acted as the founder and program chair for the International XML Technology Workshop for 11 years and serves as chair of various international conferences. She is the founder and editor-in-chief of International Journal of Information Retrieval Research, serves as a BCS examiner of Database and Advanced Database Management Systems, and is an FHEA. She has been the UOH principle investigator for four recent EU interdisciplinary (computer science nad psychology) projects: Endurmecca (student responses systems) (143545-LLP-NO-KA3-KA3MP), DO-IT (multilingual student response system) used by more than 15 EU countries (2009--1-NO1-LEO05--01046), and DONE-IT (mobile exam system) (511485-LLP-1--2010-NO-KA3-KA3MP), HRLAW2016--3090/001--001.

作者簡介(中文翻譯)

梅努·古普塔博士是印度昌迪加爾大學UIE-CSE系的副教授。她正在美國MIR實驗室進行博士後研究。她於2020年在印度古爾岡的安薩爾大學獲得計算機科學與工程的博士學位。她擁有超過16年的教學經驗。她的研究領域包括機器學習、智能系統和數據挖掘,特別關注人工智慧、影像處理與分析、智慧城市、數據分析以及人機互動(BMI)。她編輯了超過17本書籍,並撰寫了四本工程類書籍。她還擔任多本期刊的審稿人,包括Big Data, Artificial Intelligence Review, CMC, Scientific Reports, 和 Digital Health。她是ISTE和IAENG的終身會員,也是IEEE的資深會員。她已經撰寫或共同撰寫了超過37章書籍和200篇以上的國際期刊及會議論文。她還組織了許多由IEEE德里分會和AIP技術贊助的會議。

拉克什·庫馬爾博士是印度旁遮普昌迪加爾大學UIE-CSE系的教授及副主任。他正在美國MIR實驗室進行博士後研究。他於2017年在賈蘭達爾的旁遮普技術大學獲得計算機科學與工程的博士學位。擁有超過20年的教學經驗。他的研究興趣包括物聯網、機器學習和自然語言處理。他編輯了超過七本與知名出版社如泰勒與法蘭西斯集團合作的書籍,並撰寫了五本書籍。他擔任多本期刊的審稿人,包括Big Data, CMC, Scientific Reports, TSP, Multimedia Tools and ApplicationsIEEE Access。他是IEEE的資深會員。他已經在各種國內外會議和期刊上發表或共同發表了超過170篇論文。他還是多個在IEEE和AIP支持下舉辦的國際會議的組織者和編輯。

陸仲宇博士是計算機科學系的教授,並擔任高智能計算中心(CHIC)信息與系統工程(ISE)研究小組的負責人。她曾是查爾斯沃斯集團出版公司的IT部門團隊負責人。她成功領導並完成了兩個與北京大學合作的XML數據庫系統和文檔處理的研究項目。這兩個系統已作為公司商業產品的一部分進行部署。陸教授是英國研究生教育委員會(UKCGE)認可的研究導師,已出版11本學術書籍和超過200篇同行評審的學術論文。根據ResearchGate、Scopus和Google Scholar的不完全統計,她的研究出版物有35,606次閱讀和1,008次國際同行引用。陸教授擔任國際XML技術研討會的創始人和程序主席已有11年,並在各種國際會議中擔任主席。她是International Journal of Information Retrieval Research的創始人和主編,擔任數據庫和高級數據庫管理系統的BCS考官,並是FHEA。她是最近四個歐盟跨學科(計算機科學和心理學)項目的主要研究者:Endurmecca(學生反應系統)(143545-LLP-NO-KA3-KA3MP)、DO-IT(多語言學生反應系統),在超過15個歐盟國家使用(2009--1-NO1-LEO05--01046),以及DONE-IT(移動考試系統)(511485-LLP-1--2010-NO-KA3-KA3MP)、HRLAW2016--3090/001--001。