Transforming Gender-Based Healthcare with AI and Machine Learning

Gupta, Meenu, Kumar, Rakesh, Lu, Zhongyu

  • 出版商: CRC
  • 出版日期: 2024-12-24
  • 售價: $4,820
  • 貴賓價: 9.5$4,579
  • 語言: 英文
  • 頁數: 262
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032752106
  • ISBN-13: 9781032752105
  • 相關分類: 人工智慧Machine Learning
  • 尚未上市,無法訂購

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商品描述

This book provides a thorough exploration of the intersection between gender-based healthcare disparities and the transformative potential of artificial intelligence (AI) and machine learning (ML). It covers a wide range of topics from fundamental concepts to practical applications.

Transforming Gender-Based Healthcare with AI and Machine Learning incorporates real-world case studies and success stories to illustrate how AI and ML are actively reshaping gender-based healthcare and offers examples that showcase tangible outcomes and the impact of technology in healthcare settings. The book delves into the ethical considerations surrounding the use of AI and ML in healthcare and addresses issues related to privacy, bias, and responsible technology implementation. Empasis is placed on patient-centered care, and the book discusses how technology empowers individuals to actively participate in their healthcare decisions and promotes a more engaged and informed patient population.

Written to encourage interdisciplinary collaboration and highlight the importance of cooperation between health professionals, technologies, researchers, and policymakers, this book portrays how this collaborative approach is essential for achieving transformative goals and is not only for professionals but can also be used at the student level as well.

商品描述(中文翻譯)

本書深入探討性別基礎醫療差異與人工智慧(AI)及機器學習(ML)之間的交集,涵蓋從基本概念到實際應用的廣泛主題。

《以AI和機器學習轉變性別基礎醫療》結合了真實案例研究和成功故事,說明AI和ML如何積極重塑性別基礎醫療,並提供展示具體成果和技術在醫療環境中影響的範例。本書深入探討了在醫療中使用AI和ML的倫理考量,並針對隱私、偏見和負責任的技術實施等問題進行討論。重點放在以病人為中心的護理上,本書討論了技術如何使個人能夠積極參與其醫療決策,並促進更具參與感和知識的病人群體。

本書旨在鼓勵跨學科合作,強調健康專業人員、技術、研究人員和政策制定者之間合作的重要性,描繪出這種協作方式對於實現變革性目標的必要性,並不僅限於專業人士,也適用於學生層面。

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)

Dr. Meenu Gupta 是印度昌迪加爾大學 UIE-CSE 系的副教授。她正在美國 MIR Lab 進行博士後研究。她於 2020 年在印度古爾岡的 Ansal University 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、數據分析以及人機互動(BMI)感興趣。她編輯了超過 17 本書籍,並撰寫了四本工程類書籍。她審稿的期刊包括 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。她已撰寫或共同撰寫超過 37 篇書章和 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。

Dr. Rakesh Kumar 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 Lab 進行博士後研究。他於 2017 年在旁遮普技術大學贾朗达爾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 Taylor & Francis Group 合作的書籍,並撰寫了五本書籍。他擔任多個期刊的審稿人,包括 Big Data、CMC、Scientific Reports、TSP、Multimedia Tools and Applications 和 IEEE Access。他是 IEEE 的資深會員,已在各種國內外會議和期刊上發表或共同發表超過 170 篇論文。他也是多個國際會議的組織者和編輯,這些會議在 IEEE 和 AIP 的支持下舉辦。

Dr. Zhongyu Lu 是計算機科學系的教授,也是高智能計算中心(CHIC)信息與系統工程(ISE)研究小組的負責人。她曾擔任 Charlesworth Group Publishing Company IT 部門的團隊負責人。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投入使用。Lu 教授是 UKCGE 認可的研究導師(英國研究生教育委員會),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 次引用。Lu 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,並擔任多個國際會議的主席。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,並且是 FHEA。她是 UOH 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,包括 Endurmecca(學生反應系統)(143545-LLP-NO-KA3-KA3MP)、DO-IT(多語言學生反應系統),該系統在超過 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。