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      <ref-type name="Book Section">5</ref-type>
      <work-type>OS CH : Chapitres d'ouvrages scientifiques</work-type>
      <contributors>
        <authors>
          <author>
            <style face="normal" font="default" size="100%">Douali, N.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Abdennour, M.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Sasso, M.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Miette, V.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Tordjman, J.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Bedossa, P.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Veyrie, N.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Poitou, C.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Aron-Wisnewsky, J.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Clément, K.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Jaulent, M.C.</style>
          </author>
          <author>
            <style face="bold" font="default" size="100%">Zucker, Jean-Daniel</style>
          </author>
        </authors>
        <secondary-authors>
          <author>
            <style face="normal" font="default" size="100%">Lehmann, C.U.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Ammenwerth, E.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Nøhr, C.</style>
          </author>
        </secondary-authors>
      </contributors>
      <titles>
        <title>Noninvasive diagnosis of nonalcoholic steatohepatitis disease based on clinical decision support system</title>
        <secondary-title>MEDINFO 2013 : proceedings of the 14th world congress and medical and health informatics : part 1 and 2</secondary-title>
        <tertiary-title>Studies in Health Technology and Informatics</tertiary-title>
      </titles>
      <pages>1178</pages>
      <keywords>
        <keyword>FRANCE</keyword>
      </keywords>
      <dates>
        <year>2013</year>
      </dates>
      <pub-location>Amsterdam</pub-location>
      <publisher>IOS Press</publisher>
      <call-num>fdi:010079282</call-num>
      <language>ENG</language>
      <number>192</number>
      <electronic-resource-num>10.3233/978-1-61499-289-9-1178</electronic-resource-num>
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          <url>https://horizon.documentation.ird.fr/exl-doc/pleins_textes/divers20-08/010079282.pdf</url>
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      <remote-database-provider>Horizon (IRD)</remote-database-provider>
      <abstract>Non-alcoholic  fatty  liver  disease  (NAFLD)  is  a  hepatic  dis-ease  associated  with  metabolic  syndrome.  NAFLD  covers  a  spectrum of liver disease from steatosis to non-alcoholic stea-tohepatitis (NASH) and cirrhosis.  NASH  is a  disease  evolving  under  the  influence  of  various  stimuli still poorly understood. In this paper we present new clinical decision support system (CDSS) for the diagnosis of NASH and the comparison of this system with machine learn-ing algorithms.</abstract>
      <custom6>050 ; 054 ; 122</custom6>
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