<?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 tel-03090079v2</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="2026-05-26T15:48:03+02:00"/>
      </publicationStmt>
      <sourceDesc>
        <p part="N">HAL API Platform</p>
      </sourceDesc>
    </fileDesc>
  </teiHeader>
  <text>
    <body>
      <listBibl>
        <biblFull>
          <titleStmt>
            <title xml:lang="en">Machine learning to predict impulse control disorders in Parkinson's disease</title>
            <title xml:lang="fr">Apprentissage automatique pour la prédiction des troubles du contrôle des impulsions dans la maladie de Parkinson</title>
            <author role="aut">
              <persName>
                <forename type="first">Johann</forename>
                <surname>Faouzi</surname>
              </persName>
              <email type="md5">61ea86253f1a06d6ff35473f05bfe3a4</email>
              <email type="domain">gmail.com</email>
              <idno type="idhal" notation="string">johann-faouzi</idno>
              <idno type="idhal" notation="numeric">739327</idno>
              <idno type="halauthorid" notation="string">1670999-739327</idno>
              <idno type="GOOGLE SCHOLAR">https://scholar.google.com/citations?user=0UgqSpwAAAAJ&amp;hl=en</idno>
              <idno type="IDREF">https://www.idref.fr/254200680</idno>
              <idno type="ORCID">https://orcid.org/0000-0003-0542-9968</idno>
              <affiliation ref="#struct-542032"/>
            </author>
            <editor role="depositor">
              <persName>
                <forename>ABES</forename>
                <surname>STAR</surname>
              </persName>
              <email type="md5">f5aa7f563b02bb6adbba7496989af39a</email>
              <email type="domain">abes.fr</email>
            </editor>
          </titleStmt>
          <editionStmt>
            <edition n="v1">
              <date type="whenSubmitted">2020-12-29 10:53:37</date>
            </edition>
            <edition n="v2" type="current">
              <date type="whenSubmitted">2021-03-26 13:25:09</date>
              <date type="whenModified">2026-04-04 12:25:40</date>
              <date type="whenReleased">2021-03-26 13:25:10</date>
              <date type="whenProduced">2020-12-04</date>
              <date type="whenEndEmbargoed">2021-03-26</date>
              <ref type="file" target="https://hal.science/tel-03090079v2/document">
                <date notBefore="2021-03-26"/>
              </ref>
              <ref type="file" subtype="author" n="1" target="https://hal.science/tel-03090079v2/file/2020SORUS048.pdf" id="file-3182490-2792159">
                <date notBefore="2021-03-26"/>
              </ref>
            </edition>
            <respStmt>
              <resp>contributor</resp>
              <name key="131274">
                <persName>
                  <forename>ABES</forename>
                  <surname>STAR</surname>
                </persName>
                <email type="md5">f5aa7f563b02bb6adbba7496989af39a</email>
                <email type="domain">abes.fr</email>
              </name>
            </respStmt>
          </editionStmt>
          <publicationStmt>
            <distributor>CCSD</distributor>
            <idno type="halId">tel-03090079</idno>
            <idno type="halUri">https://hal.science/tel-03090079</idno>
            <idno type="halBibtex">faouzi:tel-03090079</idno>
            <idno type="halRefHtml">Artificial Intelligence [cs.AI]. Sorbonne Université, 2020. English. &lt;a target="_blank" href="https://www.theses.fr/2020SORUS048"&gt;&amp;#x27E8;NNT : 2020SORUS048&amp;#x27E9;&lt;/a&gt;</idno>
            <idno type="halRef">Artificial Intelligence [cs.AI]. Sorbonne Université, 2020. English. &amp;#x27E8;NNT : 2020SORUS048&amp;#x27E9;</idno>
            <availability status="restricted">
              <licence target="https://about.hal.science/hal-authorisation-v1/">HAL Authorization<ref corresp="#file-3182490-2792159"/></licence>
            </availability>
          </publicationStmt>
          <seriesStmt>
            <idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno>
            <idno type="stamp" n="INRIA">INRIA - Institut National de Recherche en Informatique et en Automatique</idno>
            <idno type="stamp" n="INRIA-ROCQ">INRIA Paris - Rocquencourt</idno>
            <idno type="stamp" n="APHP" corresp="INSERM">AP-HP</idno>
            <idno type="stamp" n="STAR">STAR - Dépôt national des thèses électroniques</idno>
            <idno type="stamp" n="TESTALAIN1">TESTALAIN1</idno>
            <idno type="stamp" n="ICM" corresp="SORBONNE-UNIVERSITE">Institut du Cerveau et de la Moëlle Epinière</idno>
            <idno type="stamp" n="INRIA2">INRIA 2</idno>
            <idno type="stamp" n="ARAMISLAB">ARAMISLAB - Algorithms, models and methods for images and signals of the human brain </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="THESES-SU" corresp="SORBONNE-UNIVERSITE">Thèses de Sorbonne Université</idno>
            <idno type="stamp" n="SU-MEDECINE" corresp="SORBONNE-UNIVERSITE">Faculté de Santé de Sorbonne Université</idno>
            <idno type="stamp" n="SU-MED" corresp="SORBONNE-UNIVERSITE">Médecine - Sorbonne Université</idno>
            <idno type="stamp" n="SU-TI">Sorbonne Université - Texte Intégral</idno>
            <idno type="stamp" n="ALLIANCE-SU"> Alliance Sorbonne Université</idno>
            <idno type="stamp" n="SUPRA_MEDECINE_AUTRE">Médecine (hors SVE6)</idno>
          </seriesStmt>
          <notesStmt/>
          <sourceDesc>
            <biblStruct>
              <analytic>
                <title xml:lang="en">Machine learning to predict impulse control disorders in Parkinson's disease</title>
                <title xml:lang="fr">Apprentissage automatique pour la prédiction des troubles du contrôle des impulsions dans la maladie de Parkinson</title>
                <author role="aut">
                  <persName>
                    <forename type="first">Johann</forename>
                    <surname>Faouzi</surname>
                  </persName>
                  <email type="md5">61ea86253f1a06d6ff35473f05bfe3a4</email>
                  <email type="domain">gmail.com</email>
                  <idno type="idhal" notation="string">johann-faouzi</idno>
                  <idno type="idhal" notation="numeric">739327</idno>
                  <idno type="halauthorid" notation="string">1670999-739327</idno>
                  <idno type="GOOGLE SCHOLAR">https://scholar.google.com/citations?user=0UgqSpwAAAAJ&amp;hl=en</idno>
                  <idno type="IDREF">https://www.idref.fr/254200680</idno>
                  <idno type="ORCID">https://orcid.org/0000-0003-0542-9968</idno>
                  <affiliation ref="#struct-542032"/>
                </author>
              </analytic>
              <monogr>
                <idno type="nnt">2020SORUS048</idno>
                <imprint>
                  <date type="dateDefended">2020-12-04</date>
                </imprint>
                <authority type="institution">Sorbonne Université</authority>
                <authority type="school">École doctorale Informatique, télécommunications et électronique de Paris (1992-....)</authority>
                <authority type="supervisor">Olivier Colliot</authority>
                <authority type="supervisor">Jean-Christophe Corvol</authority>
                <authority type="jury">Gérard Biau [Président]</authority>
                <authority type="jury">Christophe Ambroise [Rapporteur]</authority>
                <authority type="jury">Franck Durif [Rapporteur]</authority>
                <authority type="jury">Marta Avalos</authority>
                <authority type="jury">Alexandre Gramfort</authority>
                <authority type="jury">Mélanie Prague</authority>
              </monogr>
            </biblStruct>
          </sourceDesc>
          <profileDesc>
            <langUsage>
              <language ident="en">English</language>
            </langUsage>
            <textClass>
              <keywords scheme="author">
                <term xml:lang="en">Impulse control disorders</term>
                <term xml:lang="en">Parkinson's disease</term>
                <term xml:lang="en">Machine learning</term>
                <term xml:lang="fr">Réseaux de neurones récurrents</term>
                <term xml:lang="fr">Analyse statistique</term>
                <term xml:lang="fr">Scores de risque génétique</term>
                <term xml:lang="fr">Troubles du contrôle des impulsions</term>
                <term xml:lang="fr">Maladie de Parkinson</term>
                <term xml:lang="fr">Apprentissage automatique</term>
              </keywords>
              <classCode scheme="halDomain" n="info.info-ai">Computer Science [cs]/Artificial Intelligence [cs.AI]</classCode>
              <classCode scheme="halTypology" n="THESE">Theses</classCode>
              <classCode scheme="halOldTypology" n="THESE">Theses</classCode>
              <classCode scheme="halTreeTypology" n="THESE">Theses</classCode>
            </textClass>
            <abstract xml:lang="en">
              <p>Impulse control disorders are a class of psychiatric disorders characterized by impulsivity. These disorders are common during the course of Parkinson's disease, decrease the quality of life of subjects, and increase caregiver burden. Being able to predict which individuals are at higher risk of developing these disorders and when is of high importance. The objective of this thesis is to study impulse control disorders in Parkinson's disease from the statistical and machine learning points of view, and can be divided into two parts. The first part consists in investigating the predictive performance of the altogether factors associated with these disorders in the literature. The second part consists in studying the association and the usefulness of other factors, in particular genetic data, to improve the predictive performance.</p>
            </abstract>
            <abstract xml:lang="fr">
              <p>Les troubles du contrôle de l'impulsivité sont une classe de troubles psychiatriques caractérisés par des difficultés dans la maîtrise de ses émotions, pensées et comportements. Ces troubles sont courants dans la maladie de Parkinson et associés à une baisse de la qualité de vie des patients ainsi qu'à une augmentation de la charge des aidants. Pouvoir prédire quels sont les sujets les plus à risque de développer ces troubles et quand ces troubles apparaissent est de grande importance. L'objectif de cette thèse est d'étudier les troubles du contrôle de l'impulsivité dans la maladie de Parkinson à partir des approches statistique et de l'apprentissage automatique, et se divise en deux parties. La première partie consiste à analyser la performance prédictive de l'ensemble des facteurs associés à ces troubles dans la littérature. La seconde partie consiste à étudier l'association et l'utilité d'autres facteurs, en particulier des données génétiques, pour améliorer la performance prédictive.</p>
            </abstract>
          </profileDesc>
        </biblFull>
      </listBibl>
    </body>
    <back>
      <listOrg type="structures">
        <org type="researchteam" xml:id="struct-542032" status="VALID">
          <idno type="RNSR">201221057R</idno>
          <idno type="ROR">https://ror.org/02wpx0e31</idno>
          <orgName>Algorithms, models and methods for images and signals of the human brain = Algorithmes, modèles et méthodes pour les images et les signaux du cerveau humain [ICM Paris]</orgName>
          <orgName type="acronym">ARAMIS</orgName>
          <date type="start">2018-01-01</date>
          <date type="end">2026-06-30</date>
          <desc>
            <address>
              <addrLine>Hôpital de la Pitié-Salpêtrière Batiment ICM 47 boulevard de l'hopital 75013 Paris</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.inria.fr/equipes/aramis</ref>
          </desc>
          <listRelation>
            <relation active="#struct-542029" type="direct"/>
            <relation active="#struct-300068" type="indirect"/>
            <relation name="U1127" active="#struct-303623" type="indirect"/>
            <relation active="#struct-353778" type="indirect"/>
            <relation active="#struct-413221" type="indirect"/>
            <relation name="UM75" active="#struct-413221" type="indirect"/>
            <relation name="UMR7225" active="#struct-441569" type="indirect"/>
            <relation active="#struct-1175218" type="direct"/>
            <relation active="#struct-454310" type="indirect"/>
            <relation active="#struct-300009" type="indirect"/>
          </listRelation>
        </org>
        <org type="regrouplaboratory" xml:id="struct-542029" status="VALID">
          <idno type="IdRef">162466021</idno>
          <idno type="ISNI">0000000406205939</idno>
          <idno type="RNSR">200918525B</idno>
          <idno type="ROR">https://ror.org/050gn5214</idno>
          <orgName>Institut du Cerveau = Paris Brain Institute</orgName>
          <orgName type="acronym">ICM</orgName>
          <desc>
            <address>
              <addrLine>47-83 Boulevard de l'Hôpital 75651 Paris Cedex 13</addrLine>
              <country key="FR"/>
            </address>
          </desc>
          <listRelation>
            <relation active="#struct-300068" type="direct"/>
            <relation name="U1127" active="#struct-303623" type="direct"/>
            <relation active="#struct-353778" type="direct"/>
            <relation active="#struct-413221" type="direct"/>
            <relation name="UM75" active="#struct-413221" type="direct"/>
            <relation name="UMR7225" active="#struct-441569" type="direct"/>
          </listRelation>
        </org>
        <org type="regroupinstitution" xml:id="struct-300068" status="VALID">
          <idno type="ROR">https://ror.org/00pg5jh14</idno>
          <orgName>Assistance publique - Hôpitaux de Paris (AP-HP)</orgName>
          <orgName type="acronym">AP-HP</orgName>
          <desc>
            <address>
              <country key="FR"/>
            </address>
          </desc>
        </org>
        <org type="institution" xml:id="struct-303623" status="VALID">
          <idno type="IdRef">026388278</idno>
          <idno type="ROR">https://ror.org/02vjkv261</idno>
          <orgName>Institut National de la Santé et de la Recherche Médicale</orgName>
          <orgName type="acronym">INSERM</orgName>
          <desc>
            <address>
              <addrLine>101, rue de Tolbiac, 75013 Paris</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.inserm.fr</ref>
          </desc>
        </org>
        <org type="institution" xml:id="struct-353778" status="VALID">
          <idno type="ROR">https://ror.org/02mh9a093</idno>
          <orgName>CHU Pitié-Salpêtrière [AP-HP]</orgName>
          <desc>
            <address>
              <addrLine>47-83 Boulevard de l'Hôpital, 75013 Paris</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.aphp.fr/contenu/hopital-universitaire-pitie-salpetriere-0</ref>
          </desc>
          <listRelation>
            <relation active="#struct-300068" type="direct"/>
            <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="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="department" xml:id="struct-1175218" status="VALID">
          <idno type="ROR">https://ror.org/03cjm2544</idno>
          <orgName>Centre Inria de Sorbonne Université</orgName>
          <date type="start">2022-11-01</date>
          <desc>
            <address>
              <addrLine>48 Rue Barrault, 75013 Paris</addrLine>
              <country key="FR"/>
            </address>
          </desc>
          <listRelation>
            <relation active="#struct-454310" type="direct"/>
            <relation active="#struct-300009" type="indirect"/>
          </listRelation>
        </org>
        <org type="laboratory" xml:id="struct-454310" status="VALID">
          <idno type="IdRef">241614864</idno>
          <idno type="RNSR">196718247G</idno>
          <idno type="ROR">https://ror.org/05eyd5d35</idno>
          <orgName>Centre Inria de Paris</orgName>
          <date type="start">2016-03-10</date>
          <desc>
            <address>
              <addrLine>48 Rue Barrault, 75013 Paris</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.inria.fr/centre/paris</ref>
          </desc>
          <listRelation>
            <relation active="#struct-300009" type="direct"/>
          </listRelation>
        </org>
        <org type="institution" xml:id="struct-300009" status="VALID">
          <idno type="ROR">https://ror.org/02kvxyf05</idno>
          <orgName>Institut National de Recherche en Informatique et en Automatique</orgName>
          <orgName type="acronym">Inria</orgName>
          <desc>
            <address>
              <addrLine>Domaine de VoluceauRocquencourt - BP 10578153 Le Chesnay Cedex</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.inria.fr/en/</ref>
          </desc>
        </org>
      </listOrg>
    </back>
  </text>
</TEI>