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  <titleInfo>
    <title>Deep learning techniques for biomedical and health informatics</title>
  </titleInfo>
  <name type="personal">
    <namePart>Agarwal, Basant</namePart>
    <role>
      <roleTerm type="text">editor.</roleTerm>
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  </name>
  <name type="personal">
    <namePart>Balas, Valentina Emilia</namePart>
    <role>
      <roleTerm type="text">editor.</roleTerm>
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  <name type="personal">
    <namePart>Jain, Lakhmi C.</namePart>
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  <name type="personal">
    <namePart>Poonia, Ramesh Chandra</namePart>
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      <roleTerm type="text">editor.</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Manisha</namePart>
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      <roleTerm type="text">editor.</roleTerm>
    </role>
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    <dateIssued encoding="marc">2020</dateIssued>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
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    <extent>xv, 351 pages ; 24 cm.</extent>
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  <tableOfContents>Unified neural architecture for drug, disease, and clinical entity recognition -- Simulation on real time monitoring for user healthcare information -- Multimodality medical image retrieval using convolutional neural network -- A systematic approach for identification of tumor regions in the human brain through HARIS algorithm -- Development of a fuzzy decision support system to deal with uncertainties in working posture analysis using rapid upper limb assessment -- Short PCG classification based on deep learning -- Development of a laboratory medical algorithm for simultaneous detection and counting of erythrocytes and leukocytes in digital images of a blood smear -- Deep learning techniques for optimizing medical big data -- Simulation of biomedical signals and images using Monte Carlo methods for training of deep learning networks -- Deep learning-based histopathological image analysis for automated detection and staging of melanoma -- Potential proposal to improve data transmission in healthcare systems -- Transferable approach for cardiac disease classification using deep learning -- Automated neuroscience decision support framework -- Diabetes prediction using artificial neural network.</tableOfContents>
  <note type="statement of responsibility">edited by Basant Agarwal [and 4 others].</note>
  <note>Includes bibliographical references and index.</note>
  <subject authority="lcsh">
    <topic>Medical informatics</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Artificial intelligence</topic>
    <topic>Medical applications</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Machine learning</topic>
  </subject>
  <subject authority="fast">
    <topic>Medical informatics</topic>
  </subject>
  <subject authority="fast">
    <topic>Artificial intelligence</topic>
    <topic>Medical applications</topic>
  </subject>
  <subject authority="fast">
    <topic>Machine learning</topic>
  </subject>
  <classification authority="lcc">R859.7.A78 D433 2020</classification>
  <classification authority="ddc" edition="23">610.285 D360</classification>
  <identifier type="isbn">9780128190616</identifier>
  <identifier type="lccn">2019953930</identifier>
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