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: Machine learning and analytics in healthcare systems
    sub title: principles and applications
  name:
    name part: Himani, Bansal
    role:
      role term: editor.
  name:
    name part: Balusamy, Balamurugan
    role:
      role term: editor.
  name:
    name part: Poongodi, T.
    role:
      role term: editor.
  name:
    name part: Khan KP, Firoz
    role:
      role term: editor.
  name:
    name part: EBSCOhost
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    date issued: 2021
    copyright date: 2021
    edition: First edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource ( xii, 261 pages) : illustrations (chiefly color).
  table of contents: Chapter 1 Data Analytics in Healthcare Systems -- Principles, Challenges, and Applications Chapter 2 Systematic View and Impact of Machine Learning in Healthcare Systems Chapter 3 Foundation of Machine Learning-Based Data Classification Techniques for Health Care Chapter 4 Deep Learning for Computer-Aided Medical Diagnosis Chapter 5 Machine Learning Classifiers in Health Care Chapter 6 Machine Learning Approaches for Analysis in Healthcare Informatics Chapter 7 Prediction of Epidemic Disease Outbreaks, Using Machine Learning Chapter 8 Machine Learning-Based Case Studies for Healthcare Analytics: Electronic Health Records, Smart Health Monitoring, Disease Prediction, Precision Medicine, and Clinical Support Systems Chapter 9 Applications of Computational Methods and Modeling in Drug Delivery Chapter 10 Healthcare Data Analytics Using Business Intelligence Tool Chapter 11 Machine Learning-Based Data Classification Techniques in Healthcare Using Massive Online Analysis Framework Chapter 12 Prediction of Coronavirus (COVID-19) Disease Health Monitoring with Clinical Support System and its Objectives Index
  note: edited by Himani Bansal, Balamurugan Balusamy, T. Poongodi, and Firoz Khan KP.
  note: Includes bibliographical references and index.
  note: Himani Bansal has over 14 years of wide experience in Academics and IT industry. She is currently working as Assistant Professor in Jaypee Institute of Information Technology, Noida, India and possess many reputed certifications such as UGC National Eligibility Test (NET), IBM Certified Academic Associate DB2 9 Database and Application Fundamentals, Google Analytics Platform Principles by Google Analytics Academy, E-Commerce Analytics by Google Analytics Academy and RSA (Rational Seed Academy) and SAP-ERP professional. Her general research interests include Machine learning and Data Analytics, Cloud Computing, Business Analytics, Data Mining and Information Retrieval. She has filed 4 patents and has around 40 publications including edited books, authored book, international journals and conferences of high repute. She has served as section editor, guest editor, convener and session chair for various upright Journals and Conferences such as SCPE, NGCT, IndiaCom, CSI Digital Life, IJAIP, JGIM, ICACCI, ICCCA, etc. and has reviewed many research papers. She serves as Life Member of various professional societies such as CSI, ISTE, CSTA and IAENG and is an active member of IEEE and ACM. Recently, IEEE has conferred her with Senior Membership. Balamurugan Balusamy has served up to the position of Associate Professor in his stint of 14 years of experience with VIT University, Vellore. He has completed his Bachelors, Masters and Ph.D. Degrees from Top premier institutions.His passion is teaching and adapts differentdesign thinking principles while deliveringhis lectures .He has done around 30 books on various technologies and visited15 plus countries for his technical discourse .He has several top notchconferences in his resume and has published over 150 of quality journal, conference and book chapters combined. He serves in the advisory committeefor severalstartup and forums and does consultancy work for industryon Industrial IOT. He has given over 175 talks in various eve…
  subject:
    topic: Machine learning
  subject:
    topic: Medical informatics
  subject:
    topic: TECHNOLOGY / Manufacturing
  subject:
    topic: COMPUTERS / Data Processing / General
  subject:
    topic: Machine learning
  subject:
    topic: Medical informatics
  classification: Q325.5 .M32158 2021
  classification: 006.3/1
  related item:
    title info:
      title: Green engineering and technology: concepts and applications
  related item:
    title info:
      title: Machine learning and analytics in healthcare systems
    origin info:
      publisher: Boca Raton : CRC Press, 2021.
      edition: First editlion.
    identifier: (DLC) 2021000895
  identifier: 9781003185246
  identifier: 100318524X
  identifier: 1000406202
  identifier: 9781000406207
  identifier: 9781000406191
  identifier: 1000406199
  identifier: 9780367487935
  identifier: 0367487934
  identifier: 9780367564865
  identifier: 2021000896
  identifier: 9781003185246 Taylor & Francis
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: DLC
    record creation date: 210217
    record change date: 20210820130853.7
    record identifier: in00004549432
    language of cataloging:
      language term: eng