<?xml version="1.0" encoding="utf-8"?>
<TEI xmlns="http://www.tei-c.org/ns/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:hal="http://hal.archives-ouvertes.fr/" xmlns:gml="http://www.opengis.net/gml/3.3/" xmlns:gmlce="http://www.opengis.net/gml/3.3/ce" version="1.1" xsi:schemaLocation="http://www.tei-c.org/ns/1.0 http://api.archives-ouvertes.fr/documents/aofr-sword.xsd">
  <teiHeader>
    <fileDesc>
      <titleStmt>
        <title>HAL TEI export of hal-02481366</title>
      </titleStmt>
      <publicationStmt>
        <distributor>CCSD</distributor>
        <availability status="restricted">
          <licence target="https://creativecommons.org/publicdomain/zero/1.0/">CC0 1.0 - Universal</licence>
        </availability>
        <date when="2026-04-29T10:27:51+02:00"/>
      </publicationStmt>
      <sourceDesc>
        <p part="N">HAL API Platform</p>
      </sourceDesc>
    </fileDesc>
  </teiHeader>
  <text>
    <body>
      <listBibl>
        <biblFull>
          <titleStmt>
            <title xml:lang="en">Prediction-coherent LSTM-based recurrent neural network for safer glucose predictions in diabetic people</title>
            <author role="aut">
              <persName>
                <forename type="first">Maxime</forename>
                <surname>de Bois</surname>
              </persName>
              <email type="md5">3cca3a98095c30c29444553db5a41cfc</email>
              <email type="domain">limsi.fr</email>
              <idno type="idhal" notation="numeric">1065015</idno>
              <idno type="halauthorid" notation="string">1793998-1065015</idno>
              <idno type="ORCID">https://orcid.org/0000-0002-4181-2422</idno>
              <affiliation ref="#struct-247329"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Mounim</forename>
                <surname>El Yacoubi</surname>
              </persName>
              <email type="md5">504ab57e7133e1bdcf0504f7d0841541</email>
              <email type="domain">telecom-sudparis.eu</email>
              <idno type="idhal" notation="string">ma-el-yacoubi</idno>
              <idno type="idhal" notation="numeric">12279</idno>
              <idno type="halauthorid" notation="string">28632-12279</idno>
              <idno type="ORCID">https://orcid.org/0000-0002-7383-0588</idno>
              <idno type="IDREF">https://www.idref.fr/193493217</idno>
              <affiliation ref="#struct-442705"/>
              <affiliation ref="#struct-563936"/>
              <affiliation ref="#struct-95569"/>
              <affiliation ref="#struct-441569"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Mehdi</forename>
                <surname>Ammi</surname>
              </persName>
              <email type="md5">cf29facbce762e841cb0c29e84ebbf02</email>
              <email type="domain">limsi.fr</email>
              <idno type="idhal" notation="numeric">865354</idno>
              <idno type="halauthorid" notation="string">138097-865354</idno>
              <idno type="ORCID">https://orcid.org/0000-0003-1763-4045</idno>
              <idno type="IDREF">https://www.idref.fr/109339282</idno>
              <affiliation ref="#struct-11141"/>
            </author>
            <editor role="depositor">
              <persName>
                <forename>Mounîm A.</forename>
                <surname>EL YACOUBI</surname>
              </persName>
              <email type="md5">504ab57e7133e1bdcf0504f7d0841541</email>
              <email type="domain">telecom-sudparis.eu</email>
            </editor>
          </titleStmt>
          <editionStmt>
            <edition n="v1" type="current">
              <date type="whenSubmitted">2020-02-17 14:10:21</date>
              <date type="whenModified">2026-02-17 13:59:20</date>
              <date type="whenReleased">2020-02-17 14:10:21</date>
              <date type="whenProduced">2019-12-12</date>
              <ref type="externalLink" target="http://arxiv.org/pdf/2009.03722"/>
            </edition>
            <respStmt>
              <resp>contributor</resp>
              <name key="323592">
                <persName>
                  <forename>Mounîm A.</forename>
                  <surname>EL YACOUBI</surname>
                </persName>
                <email type="md5">504ab57e7133e1bdcf0504f7d0841541</email>
                <email type="domain">telecom-sudparis.eu</email>
              </name>
            </respStmt>
          </editionStmt>
          <publicationStmt>
            <distributor>CCSD</distributor>
            <idno type="halId">hal-02481366</idno>
            <idno type="halUri">https://hal.science/hal-02481366</idno>
            <idno type="halBibtex">debois:hal-02481366</idno>
            <idno type="halRefHtml">&lt;i&gt;ICONIP 2019: 26th International Conference on Neural Information Processing&lt;/i&gt;, Dec 2019, Sidney, Australia. pp.510-521, &lt;a target="_blank" href="https://dx.doi.org/10.1007/978-3-030-36718-3_43"&gt;&amp;#x27E8;10.1007/978-3-030-36718-3_43&amp;#x27E9;&lt;/a&gt;</idno>
            <idno type="halRef">ICONIP 2019: 26th International Conference on Neural Information Processing, Dec 2019, Sidney, Australia. pp.510-521, &amp;#x27E8;10.1007/978-3-030-36718-3_43&amp;#x27E9;</idno>
            <availability status="restricted"/>
          </publicationStmt>
          <seriesStmt>
            <idno type="stamp" n="UNIV-PARIS8" corresp="UNIV-PARIS-LUMIERES">Université Paris VIII Vincennes-Saint Denis</idno>
            <idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno>
            <idno type="stamp" n="UNIV-PSUD">Université Paris Sud - Paris XI</idno>
            <idno type="stamp" n="TELECOM-SUDPARIS" corresp="INSTITUT-MINES-TELECOM">Télécom SudParis</idno>
            <idno type="stamp" n="LIMSI">Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur</idno>
            <idno type="stamp" n="UNIV-PARIS-SACLAY">Université Paris-Saclay</idno>
            <idno type="stamp" n="UNIV-PSUD-SACLAY" corresp="UNIV-PARIS-SACLAY">Université Paris Sud pour Paris Saclay</idno>
            <idno type="stamp" n="SORBONNE-UNIVERSITE">Sorbonne Université</idno>
            <idno type="stamp" n="SORBONNE-UNIV" corresp="SORBONNE-UNIVERSITE">Sorbonne Université 01/01/2018</idno>
            <idno type="stamp" n="IP_PARIS">Institut Polytechnique de Paris</idno>
            <idno type="stamp" n="UNIV-PARIS-LUMIERES"/>
            <idno type="stamp" n="INSTITUTS-TELECOM">composantes instituts telecom </idno>
            <idno type="stamp" n="TEST-HALCNRS">Collection test HAL CNRS</idno>
            <idno type="stamp" n="SU-TI">Sorbonne Université - Texte Intégral</idno>
            <idno type="stamp" n="LISN">Laboratoire Interdisciplinaire des Sciences du Numérique</idno>
            <idno type="stamp" n="GS-ENGINEERING">Graduate School Sciences de l'Ingénierie et des Systèmes</idno>
            <idno type="stamp" n="GS-COMPUTER-SCIENCE">Graduate School Computer Science</idno>
            <idno type="stamp" n="GS-SPORT-HUMAN-MOVEMENT">Graduate School Sport, Mouvement, Facteurs Humains</idno>
            <idno type="stamp" n="UNIV-PARIS8-OA" corresp="UNIV-PARIS8">HAL UNIV-PARIS8 - open access</idno>
            <idno type="stamp" n="COMUE-UPSACLAY" corresp="UNIV-PARIS-SACLAY">Comue Univeristé Paris-Saclay</idno>
            <idno type="stamp" n="ALLIANCE-SU"> Alliance Sorbonne Université</idno>
            <idno type="stamp" n="INSTITUT-MINES-TELECOM">Institut Mines Telecom</idno>
            <idno type="stamp" n="DEPARTEMENT-DE-MATHEMATIQUES">Collection du Département de Mathématiques</idno>
            <idno type="stamp" n="IP-PARIS-DEPARTEMENT-MATHEMATIQUES">Département de Mathèmatiques</idno>
            <idno type="stamp" n="IP-PARIS-MATHEMATIQUES">IP Paris Département de Mathématiques</idno>
            <idno type="stamp" n="IP-PARIS-INFORMATION-COMMUNICATION-ELECTRONIQUE">IP Paris Département d'Information, de Communication et d'Électronique</idno>
            <idno type="stamp" n="IP-PARIS-INFORMATIQUE-DONNEES-ET-IA">IP Paris Département d'Informatique, de Données et d'IA</idno>
            <idno type="stamp" n="SAMOVAR">Services répartis, Architectures, Modélisation, Validation, Administration des Réseaux</idno>
          </seriesStmt>
          <notesStmt>
            <note type="audience" n="2">International</note>
            <note type="invited" n="0">No</note>
            <note type="popular" n="0">No</note>
            <note type="peer" n="1">Yes</note>
            <note type="proceedings" n="1">Yes</note>
          </notesStmt>
          <sourceDesc>
            <biblStruct>
              <analytic>
                <title xml:lang="en">Prediction-coherent LSTM-based recurrent neural network for safer glucose predictions in diabetic people</title>
                <author role="aut">
                  <persName>
                    <forename type="first">Maxime</forename>
                    <surname>de Bois</surname>
                  </persName>
                  <email type="md5">3cca3a98095c30c29444553db5a41cfc</email>
                  <email type="domain">limsi.fr</email>
                  <idno type="idhal" notation="numeric">1065015</idno>
                  <idno type="halauthorid" notation="string">1793998-1065015</idno>
                  <idno type="ORCID">https://orcid.org/0000-0002-4181-2422</idno>
                  <affiliation ref="#struct-247329"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Mounim</forename>
                    <surname>El Yacoubi</surname>
                  </persName>
                  <email type="md5">504ab57e7133e1bdcf0504f7d0841541</email>
                  <email type="domain">telecom-sudparis.eu</email>
                  <idno type="idhal" notation="string">ma-el-yacoubi</idno>
                  <idno type="idhal" notation="numeric">12279</idno>
                  <idno type="halauthorid" notation="string">28632-12279</idno>
                  <idno type="ORCID">https://orcid.org/0000-0002-7383-0588</idno>
                  <idno type="IDREF">https://www.idref.fr/193493217</idno>
                  <affiliation ref="#struct-442705"/>
                  <affiliation ref="#struct-563936"/>
                  <affiliation ref="#struct-95569"/>
                  <affiliation ref="#struct-441569"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Mehdi</forename>
                    <surname>Ammi</surname>
                  </persName>
                  <email type="md5">cf29facbce762e841cb0c29e84ebbf02</email>
                  <email type="domain">limsi.fr</email>
                  <idno type="idhal" notation="numeric">865354</idno>
                  <idno type="halauthorid" notation="string">138097-865354</idno>
                  <idno type="ORCID">https://orcid.org/0000-0003-1763-4045</idno>
                  <idno type="IDREF">https://www.idref.fr/109339282</idno>
                  <affiliation ref="#struct-11141"/>
                </author>
              </analytic>
              <monogr>
                <title level="m">Neural Information Processing: 26th international Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, proceedings, part III</title>
                <meeting>
                  <title>ICONIP 2019: 26th International Conference on Neural Information Processing</title>
                  <date type="start">2019-12-12</date>
                  <date type="end">2019-12-15</date>
                  <settlement>Sidney</settlement>
                  <country key="AU">Australia</country>
                </meeting>
                <imprint>
                  <publisher>Springer</publisher>
                  <biblScope unit="serie">Lecture Notes in Computer Science (LNCS)</biblScope>
                  <biblScope unit="volume">11955</biblScope>
                  <biblScope unit="pp">510-521</biblScope>
                </imprint>
              </monogr>
              <idno type="doi">10.1007/978-3-030-36718-3_43</idno>
            </biblStruct>
          </sourceDesc>
          <profileDesc>
            <langUsage>
              <language ident="en">English</language>
            </langUsage>
            <textClass>
              <keywords scheme="author">
                <term xml:lang="en">Clinical acceptability</term>
                <term xml:lang="en">Stability</term>
                <term xml:lang="en">Loss function</term>
                <term xml:lang="en">Recurrent neural network</term>
                <term xml:lang="en">Glucose prediction</term>
              </keywords>
              <classCode scheme="halDomain" n="info.info-ai">Computer Science [cs]/Artificial Intelligence [cs.AI]</classCode>
              <classCode scheme="halTypology" n="COMM">Conference papers</classCode>
              <classCode scheme="halOldTypology" n="COMM">Conference papers</classCode>
              <classCode scheme="halTreeTypology" n="COMM">Conference papers</classCode>
            </textClass>
            <abstract xml:lang="en">
              <p>In the context of time-series forecasting, we propose a LSTM-based recurrent neural network architecture and loss function that enhance the stability of the predictions. In particular, the loss function penalizes the model, not only on the prediction error (mean-squared error), but also on the predicted variation error. We apply this idea to the prediction of future glucose values in diabetes, which is a delicate task as unstable predictions can leave the patient in doubt and make him/her take the wrong action, threatening his/her life. The study is conducted on type 1 and type 2 diabetic people, with a focus on predictions made 30-min ahead of time. First, we confirm the superiority, in the context of glucose prediction, of the LSTM model by comparing it to other state-of-the-art models (Extreme Learning Machine, Gaussian Process regressor, Support Vector Regressor). Then, we show the importance of making stable predictions by smoothing the predictions made by the models, resulting in an overall improvement of the clinical acceptability of the models at the cost in a slight loss in prediction accuracy. Finally, we show that the proposed approach, outperforms all baseline results. More precisely, it trades a loss of 4.3% in the prediction accuracy for an improvement of the clinical acceptability of 27.1%. When compared to the moving average post-processing method, we show that the trade-off is more efficient with our approach.</p>
            </abstract>
          </profileDesc>
        </biblFull>
      </listBibl>
    </body>
    <back>
      <listOrg type="structures">
        <org type="laboratory" xml:id="struct-247329" status="OLD">
          <orgName>Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur</orgName>
          <orgName type="acronym">LIMSI</orgName>
          <date type="start">1962-01-01</date>
          <date type="end">2019-12-31</date>
          <desc>
            <address>
              <addrLine>Université Paris-Sud Bât. 507 - Rue du Belvédère -91405 ORSAY CEDEX</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.limsi.fr/</ref>
          </desc>
          <listRelation>
            <relation active="#struct-92966" type="direct"/>
            <relation active="#struct-408837" type="direct"/>
            <relation active="#struct-413221" type="indirect"/>
            <relation active="#struct-419361" type="direct"/>
            <relation name="UPR3251" active="#struct-441569" type="direct"/>
            <relation active="#struct-562112" type="direct"/>
          </listRelation>
        </org>
        <org type="researchteam" xml:id="struct-442705" status="VALID">
          <orgName>ARMEDIA</orgName>
          <orgName type="acronym">ARMEDIA-SAMOVAR</orgName>
          <desc>
            <address>
              <addrLine>TELECOM Sudparis 9 rue Charles Fourier 91011 EVRY</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://samovar.telecom-sudparis.eu</ref>
          </desc>
          <listRelation>
            <relation active="#struct-638" type="direct"/>
            <relation active="#struct-352124" type="indirect"/>
            <relation active="#struct-302102" type="indirect"/>
            <relation name="563936" active="#struct-563936" type="indirect"/>
          </listRelation>
        </org>
        <org type="regroupinstitution" xml:id="struct-563936" status="VALID">
          <idno type="IdRef">238327159</idno>
          <idno type="ISNI">0000000502717600</idno>
          <idno type="ROR">https://ror.org/042tfbd02</idno>
          <idno type="Wikidata">Q48759778</idno>
          <orgName>Institut Polytechnique de Paris</orgName>
          <orgName type="acronym">IP Paris</orgName>
          <date type="start">2019-06-02</date>
          <desc>
            <address>
              <addrLine>Route de Saclay, 91120 Palaiseau Cedex, France</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.ip-paris.fr</ref>
          </desc>
        </org>
        <org type="department" xml:id="struct-95569" status="VALID">
          <orgName>Département Electronique et Physique</orgName>
          <orgName type="acronym">TSP - EPH</orgName>
          <desc>
            <address>
              <addrLine>Télécom SudParis - 9 rue Charles Fourier - 91011 Évry Cedex</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://eph.telecom-sudparis.eu/</ref>
          </desc>
          <listRelation>
            <relation active="#struct-352124" type="direct"/>
            <relation active="#struct-302102" type="indirect"/>
            <relation name="563936" active="#struct-563936" type="indirect"/>
          </listRelation>
        </org>
        <org type="regroupinstitution" xml:id="struct-441569" status="VALID">
          <idno type="IdRef">02636817X</idno>
          <idno type="ISNI">0000000122597504</idno>
          <idno type="ROR">https://ror.org/02feahw73</idno>
          <orgName>Centre National de la Recherche Scientifique</orgName>
          <orgName type="acronym">CNRS</orgName>
          <date type="start">1939-10-19</date>
          <desc>
            <address>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.cnrs.fr/</ref>
          </desc>
        </org>
        <org type="institution" xml:id="struct-11141" status="VALID">
          <idno type="IdRef">026403552</idno>
          <idno type="ISNI">0000000121083026</idno>
          <idno type="ROR">https://ror.org/04wez5e68</idno>
          <orgName>Université Paris 8</orgName>
          <orgName type="acronym">UP8</orgName>
          <date type="start">1971-01-01</date>
          <desc>
            <address>
              <addrLine>2 rue de la Liberté - 93526 Saint-Denis cedex</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.univ-paris8.fr/</ref>
          </desc>
        </org>
        <org type="institution" xml:id="struct-92966" status="OLD">
          <idno type="ROR">https://ror.org/028rypz17</idno>
          <orgName>Université Paris-Sud - Paris 11</orgName>
          <orgName type="acronym">UP11</orgName>
          <date type="end">2019-12-31</date>
          <desc>
            <address>
              <addrLine>Bâtiment 300 - 91405 Orsay cedex</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.u-psud.fr/</ref>
          </desc>
        </org>
        <org type="regrouplaboratory" xml:id="struct-408837" status="VALID">
          <orgName>Sorbonne Université - UFR d'Ingénierie</orgName>
          <orgName type="acronym">UFR 919</orgName>
          <desc>
            <address>
              <addrLine>SORBONNE UNIVERSITEFACULTE DES SCIENCES ET INGENIERIEUFR D'INGENIERIETour 55/65 - 2e étage4 place Jussieu75252 Paris cedex 05</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://ingenierie.sorbonne-universite.fr/fr/index.html</ref>
          </desc>
          <listRelation>
            <relation active="#struct-413221" type="direct"/>
          </listRelation>
        </org>
        <org type="regroupinstitution" xml:id="struct-413221" status="VALID">
          <idno type="IdRef">221333754</idno>
          <idno type="ROR">https://ror.org/02en5vm52</idno>
          <orgName>Sorbonne Université</orgName>
          <orgName type="acronym">SU</orgName>
          <date type="start">2018-01-01</date>
          <desc>
            <address>
              <addrLine>21 rue de l’École de médecine - 75006 Paris</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.sorbonne-universite.fr/</ref>
          </desc>
        </org>
        <org type="institution" xml:id="struct-419361" status="VALID">
          <idno type="IdRef">241345251</idno>
          <idno type="ROR">https://ror.org/03xjwb503</idno>
          <orgName>Université Paris-Saclay</orgName>
          <desc>
            <address>
              <addrLine>Bâtiment Bréguet, 3 Rue Joliot Curie 2e ét, 91190 Gif-sur-Yvette</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.universite-paris-saclay.fr/fr</ref>
          </desc>
        </org>
        <org type="institution" xml:id="struct-562112" status="OLD">
          <orgName>Université Paris Saclay (COmUE)</orgName>
          <desc>
            <address>
              <addrLine>Espace Technologique, Bât. Discovery - RD 128 - 2è ététage, 91190 Saint-Aubin</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.universite-paris-saclay.fr/fr</ref>
          </desc>
        </org>
        <org type="laboratory" xml:id="struct-638" status="VALID">
          <idno type="IdRef">281286515</idno>
          <idno type="ISNI">0000000403830480</idno>
          <idno type="RNSR">200319330C</idno>
          <orgName>Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux</orgName>
          <orgName type="acronym">SAMOVAR</orgName>
          <desc>
            <address>
              <addrLine>Télécom Sudparis, 9 rue Charles Fourier -91011 Evry cedex</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://samovar.telecom-sudparis.eu/</ref>
          </desc>
          <listRelation>
            <relation active="#struct-352124" type="direct"/>
            <relation active="#struct-302102" type="indirect"/>
            <relation name="563936" active="#struct-563936" type="indirect"/>
          </listRelation>
        </org>
        <org type="institution" xml:id="struct-352124" status="VALID">
          <idno type="IdRef">162347510</idno>
          <idno type="ISNI">0000000406406351</idno>
          <idno type="ROR">https://ror.org/05xvk4r52</idno>
          <idno type="Wikidata">Q43305</idno>
          <orgName>Télécom SudParis</orgName>
          <orgName type="acronym">TSP</orgName>
          <desc>
            <address>
              <addrLine>9 rue Charles Fourier -91011 Evry Cedex</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.telecom-sudparis.eu/</ref>
          </desc>
          <listRelation>
            <relation active="#struct-302102" type="direct"/>
            <relation name="563936" active="#struct-563936" type="direct"/>
          </listRelation>
        </org>
        <org type="regroupinstitution" xml:id="struct-302102" status="VALID">
          <idno type="IdRef">192427156</idno>
          <idno type="ISNI">000000012202567X</idno>
          <idno type="ROR">https://ror.org/025vp2923</idno>
          <idno type="Wikidata">Q27962533</idno>
          <orgName>Institut Mines-Télécom [Paris]</orgName>
          <orgName type="acronym">IMT</orgName>
          <date type="start">2012-03-01</date>
          <desc>
            <address>
              <addrLine>19 Place Marguerite Perey, 91120 Palaiseau</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.imt.fr/</ref>
          </desc>
        </org>
      </listOrg>
    </back>
  </text>
</TEI>