rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: TRANSFORMING GENDER-BASED HEALTHCARE WITH AI AND MACHINE LEARNING
  name:
    name part: Gupta, Meenu
    name part: (Professor of computer science)
  name:
    name part: Kumar, Rakesh
    name part: (Computer scientist)
  name:
    name part: Lu, Zhongyu
    name part: 1955-
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: xx
    place:
      place term: S.l.]
    publisher: CRC PRESS
    date issued: 2025
    date issued: 2024
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: 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.
  note: 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 Kumaris professor and associate directorat 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 than20 years of teaching experience. His research interests are IoT, machine learning, and natural language processing. He has edited more thanseven 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…
  subject:
    topic: Medical care
    topic: Data processing
  subject:
    topic: Soins médicaux
    topic: Informatique
  subject:
    topic: HEALTH & FITNESS / Health Care Issues
  classification: RA427
  classification: 362.10285
  related item:
    identifier: (OCoLC)1443481968
  related item:
    title info:
      title: Studies in intelligent systems and cognitive computing
  identifier: 9781040256015
  identifier: 1040256015
  identifier: 9781003473435
  identifier: 1003473431
  identifier: 9781040256114
  identifier: 1040256112
  identifier: 1032752106
  identifier: 9781032752105
  identifier: 9781003473435 Taylor & Francis
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: YDX
    record creation date: 241010
    record change date: 20250122185342.6
    record identifier: in00005614172
    language of cataloging:
      language term: eng