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: Smart computational intelligence in biomedical and health informatics
  name:
    name part: Manocha, Amit Kumar
    role:
      role term: editor.
  name:
    name part: Singh, Mandeep
    name part: (Professor of electrical and instrumental engineering)
    role:
      role term: editor.
  name:
    name part: Jain, Shruti
    name part: (Associate professor of electronics and communication engineering)
    role:
      role term: editor.
  name:
    name part: Jain, Vishal
    name part: 1983-
    role:
      role term: editor.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    date issued: 2022
    copyright date: 2022
    edition: First edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource : illustrations
  abstract: Smart Computational Intelligence in Biomedical and Health Informatics presents state-of-the-art innovations; research, design, and implementation of methodological and algorithmic solutions to data processing problems, including analysis of evolving trends in health informatics and computer-aided diagnosis. This book describes practical, applications-led research regarding the use of methods and devices in clinical diagnosis, disease prevention, and patient monitoring and management. It also covers simulation and modeling, measurement and control, analysis, information extraction and monitoring of physiological data in clinical medicine and the biological sciences. FEATURES Covers evolutionary approaches to solve optimization problems in biomedical engineering Discusses IoT, Cloud computing, and data analytics in healthcare informatics Provides computational intelligence-based solution for diagnosis of diseases Reviews modelling and simulations in designing of biomedical equipment Promotes machine learning-based approaches to improvements in biomedical engineering problems This book is for researchers, graduate students in healthcare, biomedical engineers, and those interested in health informatics, computational intelligence, and machine learning.
  note: edited by Amit Kumar Manocha, Mandeep Singh, Shruti Jain, and Vishal Jain.
  note: Dr. Amit Kumar Manocha is presently working as an Associate Professor in Electrical Engineering at Maharaja Ranjit Singh Punjab Technical University, Bathinda, India. He is author of more than 50 research papers in refereed journals, International and national Conferences. Dr. Manocha successfully organized five International Conferences in the capacity of Conference Chair, Convener, editor of conference proceedings and more than 25 Workshops & Seminars. He participated in many International Conferences as Advisory Committee, Session Chair, and member of Technical Committee in International conferences. He is member in Editorial Boards for many International Journals. His area of research includes Biomedical Instrumentation, Remote Monitoring and Control Systems. He has guided more than 10 Master dissertations and 5 PhDs are going on. He has been granted/published 03 Patents and Rs. 36 Lacs from Department of Science and Technology, Government of India for research project on Identification of adulterants in Indian spices. Dr. Shruti Jain is an Associate Professor in the Department of Electronics and Communication Engineering at Jaypee University of Information Technology, Waknaghat, H.P, India and has received her Doctor of Science (D. Sc.) in Electronics and Communication Engineering. She has a teaching experience of around 16 years. She has filed five patents out of which one patent is granted and four are published. She has published more than 15 book chapters, and 100 research papers in reputed indexed journals and in international conferences. She has also published six books. She has completed two government-sponsored projects. She has guided 06 Ph. D. students and now has 02 registered students. She has also guided 11 M Tech scholars and more than 90 B Tech undergrads. Her research interests are Image and Signal Processing, Soft Computing, Bio-inspired Computing and Computer-Aided Design of FPGA and VLSI circuits. She is a senior member of IEEE, life member …
  subject:
    topic: Medical informatics
  subject:
    topic: Biomedical engineering
    topic: Data processing
  subject:
    topic: Computational intelligence
  subject:
    topic: Medicine
    topic: Data processing
  subject:
    topic: Medical Informatics
  subject:
    topic: Medical Informatics Applications
  subject:
    topic: Médecine
    topic: Informatique
  subject:
    topic: Génie biomédical
    topic: Informatique
  subject:
    topic: Intelligence informatique
  subject:
    topic: COMPUTERS
    topic: Database Management
    topic: Data Mining
  subject:
    topic: MEDICAL
    topic: Biotechnology
  subject:
    topic: TECHNOLOGY
    topic: Electricity
  subject:
    topic: Medicine
    topic: Data processing
  subject:
    topic: Biomedical engineering
    topic: Data processing
  subject:
    topic: Computational intelligence
  subject:
    topic: Medical informatics
  classification: R859.7.A78 S63 2022eb
  classification: 610.28563
  related item:
    identifier: (OCoLC)1241730450
  related item:
    title info:
      title: Computational intelligence techniques
  identifier: 9781000434378
  identifier: 1000434370
  identifier: 9781000434392
  identifier: 1000434397
  identifier: 9781003109327
  identifier: 1003109322
  identifier: 0367624125
  identifier: 9780367624125
  identifier: 9781000434392 Ingram Content Group
  identifier: 9781003109327 Taylor & Francis
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: YDX
    record creation date: 210803
    record change date: 20241108165928.1
    record identifier: in00005524941
    language of cataloging:
      language term: eng