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B01=Meenu Gupta
B01=Rakesh Kumar
B01=Zhongyu Lu
Category1=Non-Fiction
Category=JFFK
Category=KJMV5
Category=MBNS
Category=TJFM
Category=UBL
Category=UM
Category=UNF
Category=URD
Category=UYF
Category=UYQ
COP=United Kingdom
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€100 and above
PS=Forthcoming
softlaunch

Transforming Gender-Based Healthcare with AI and Machine Learning

English

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.

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Current price €107.09
Original price €118.99
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Age Group_Uncategorizedautomatic-updateB01=Meenu GuptaB01=Rakesh KumarB01=Zhongyu LuCategory1=Non-FictionCategory=JFFKCategory=KJMV5Category=MBNSCategory=TJFMCategory=UBLCategory=UMCategory=UNFCategory=URDCategory=UYFCategory=UYQCOP=United KingdomDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Forthcomingsoftlaunch

Will deliver when available. Publication date 24 Dec 2024

Product Details
  • Dimensions: 156 x 234mm
  • Publication Date: 24 Dec 2024
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: United Kingdom
  • Language: English
  • ISBN13: 9781032752105

About

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 35606 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.

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