<?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-04191052</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="2026-05-24T12:49:40+02:00"/>
      </publicationStmt>
      <sourceDesc>
        <p part="N">HAL API Platform</p>
      </sourceDesc>
    </fileDesc>
  </teiHeader>
  <text>
    <body>
      <listBibl>
        <biblFull>
          <titleStmt>
            <title xml:lang="en">Sectors-Job retention/disability matrix on Reunion Island: From description and prediction by Machine Learning to prevention of job loss</title>
            <author role="aut">
              <persName>
                <forename type="first">L.</forename>
                <surname>Fauquembergue</surname>
              </persName>
              <idno type="halauthorid">2884842-0</idno>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">V.</forename>
                <surname>Le Guen</surname>
              </persName>
              <idno type="halauthorid">2884843-0</idno>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Marie</forename>
                <surname>Badreau</surname>
              </persName>
              <email type="md5">5f673f736ecffd95cc20e4967300c0a1</email>
              <email type="domain">gmail.com</email>
              <idno type="idhal" notation="string">marie-badreau</idno>
              <idno type="idhal" notation="numeric">1145753</idno>
              <idno type="halauthorid" notation="string">2537823-1145753</idno>
              <idno type="ORCID">https://orcid.org/0009-0005-8418-7216</idno>
              <affiliation ref="#struct-182194"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Fabien</forename>
                <surname>Gilbert</surname>
              </persName>
              <email type="md5">c003fb1c7f4711ec292d42dcc0badb23</email>
              <email type="domain">univ-angers.fr</email>
              <idno type="idhal" notation="string">fabien-gilbert</idno>
              <idno type="idhal" notation="numeric">182099</idno>
              <idno type="halauthorid" notation="string">3933-182099</idno>
              <affiliation ref="#struct-182194"/>
            </author>
            <author role="crp">
              <persName>
                <forename type="first">A.</forename>
                <surname>Descatha</surname>
              </persName>
              <email type="md5">475ee94adf81619c2faea6ad0e97079e</email>
              <email type="domain">univ-angers.fr</email>
              <idno type="idhal" notation="string">alexis-descatha</idno>
              <idno type="idhal" notation="numeric">181656</idno>
              <idno type="halauthorid" notation="string">451620-181656</idno>
              <idno type="ORCID">https://orcid.org/0000-0001-6028-3186</idno>
              <idno type="IDREF">https://www.idref.fr/06769439X</idno>
              <affiliation ref="#struct-182194"/>
              <affiliation ref="#struct-1007733"/>
            </author>
            <editor role="depositor">
              <persName>
                <forename>Accord Elsevier</forename>
                <surname>CCSD</surname>
              </persName>
              <email type="md5">3cc0cc7b8e3329bfb7423fa2578d788e</email>
              <email type="domain">ccsd.cnrs.fr</email>
            </editor>
          </titleStmt>
          <editionStmt>
            <edition n="v1" type="current">
              <date type="whenSubmitted">2025-03-31 11:50:30</date>
              <date type="whenModified">2025-11-27 16:06:16</date>
              <date type="whenReleased">2025-03-31 11:50:32</date>
              <date type="whenProduced">2023</date>
              <date type="whenEndEmbargoed">2024-02-17</date>
              <ref type="file" target="https://hal.science/hal-04191052v1/document">
                <date notBefore="2024-02-17"/>
              </ref>
              <ref type="file" subtype="author" n="1" target="https://hal.science/hal-04191052v1/file/S1775878522004362.pdf" id="file-5013012-4343217">
                <date notBefore="2024-02-17"/>
              </ref>
              <ref type="externalLink" target="http://manuscript.elsevier.com/S1775878522004362/pdf/S1775878522004362.pdf"/>
            </edition>
            <respStmt>
              <resp>contributor</resp>
              <name key="1081876">
                <persName>
                  <forename>Accord Elsevier</forename>
                  <surname>CCSD</surname>
                </persName>
                <email type="md5">3cc0cc7b8e3329bfb7423fa2578d788e</email>
                <email type="domain">ccsd.cnrs.fr</email>
              </name>
            </respStmt>
          </editionStmt>
          <publicationStmt>
            <distributor>CCSD</distributor>
            <idno type="halId">hal-04191052</idno>
            <idno type="halUri">https://hal.science/hal-04191052</idno>
            <idno type="halBibtex">fauquembergue:hal-04191052</idno>
            <idno type="halRefHtml">&lt;i&gt;Archives des Maladies Professionnelles et de L'Environnement&lt;/i&gt;, 2023, 84 (2), &lt;a target="_blank" href="https://dx.doi.org/10.1016/j.admp.2022.101705"&gt;&amp;#x27E8;10.1016/j.admp.2022.101705&amp;#x27E9;&lt;/a&gt;</idno>
            <idno type="halRef">Archives des Maladies Professionnelles et de L'Environnement, 2023, 84 (2), &amp;#x27E8;10.1016/j.admp.2022.101705&amp;#x27E9;</idno>
            <availability status="restricted">
              <licence target="https://creativecommons.org/licenses/by-nc/4.0/">CC BY-NC 4.0 - Attribution - Non-commercial use<ref corresp="#file-5013012-4343217"/></licence>
            </availability>
          </publicationStmt>
          <seriesStmt>
            <idno type="stamp" n="UNIV-RENNES1">Université de Rennes 1</idno>
            <idno type="stamp" n="UNIV-ANGERS">Université d'Angers</idno>
            <idno type="stamp" n="IFR140">SFR Biosit - Biologie et Santé CNRS UMS 3480</idno>
            <idno type="stamp" n="IRSET">Institut de Recherche en Santé, Environnement et Travail</idno>
            <idno type="stamp" n="IRSET-TREC" corresp="IRSET">TRANSCRIPTION, ENVIRONMENT and CANCER (TREC)</idno>
            <idno type="stamp" n="IRSET-NEED" corresp="IRSET">NEUROENDOCRINE EFFECTS OF ENDOCRINE DISRUPTORS</idno>
            <idno type="stamp" n="IRSET-TNGC" corresp="IRSET">Recherches épidémiologiques sur l'environnement, la reproduction et le développement</idno>
            <idno type="stamp" n="UR1-UFR-SVE">UFR SVE Sciences de la vie et de l'environnement</idno>
            <idno type="stamp" n="UR1-HAL">Publications labos UR1 dans HAL-Rennes 1</idno>
            <idno type="stamp" n="UR1-SDV">UR1 - publications SDV</idno>
            <idno type="stamp" n="IRSET-10">ROQUELAURE - Epidémiologie en Santé au Travail et Ergonomie (ESTER)</idno>
            <idno type="stamp" n="TEST-UR-CSS">TEST Université de Rennes CSS</idno>
            <idno type="stamp" n="UNIV-RENNES">Université de Rennes</idno>
            <idno type="stamp" n="UR1-BIO-SA">Pôle UnivRennes - Biologie-Santé</idno>
            <idno type="stamp" n="ELSEVIER">Import Elsevier</idno>
          </seriesStmt>
          <notesStmt>
            <note type="audience" n="2">International</note>
            <note type="popular" n="0">No</note>
            <note type="peer" n="1">Yes</note>
          </notesStmt>
          <sourceDesc>
            <biblStruct>
              <analytic>
                <title xml:lang="en">Sectors-Job retention/disability matrix on Reunion Island: From description and prediction by Machine Learning to prevention of job loss</title>
                <author role="aut">
                  <persName>
                    <forename type="first">L.</forename>
                    <surname>Fauquembergue</surname>
                  </persName>
                  <idno type="halauthorid">2884842-0</idno>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">V.</forename>
                    <surname>Le Guen</surname>
                  </persName>
                  <idno type="halauthorid">2884843-0</idno>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Marie</forename>
                    <surname>Badreau</surname>
                  </persName>
                  <email type="md5">5f673f736ecffd95cc20e4967300c0a1</email>
                  <email type="domain">gmail.com</email>
                  <idno type="idhal" notation="string">marie-badreau</idno>
                  <idno type="idhal" notation="numeric">1145753</idno>
                  <idno type="halauthorid" notation="string">2537823-1145753</idno>
                  <idno type="ORCID">https://orcid.org/0009-0005-8418-7216</idno>
                  <affiliation ref="#struct-182194"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Fabien</forename>
                    <surname>Gilbert</surname>
                  </persName>
                  <email type="md5">c003fb1c7f4711ec292d42dcc0badb23</email>
                  <email type="domain">univ-angers.fr</email>
                  <idno type="idhal" notation="string">fabien-gilbert</idno>
                  <idno type="idhal" notation="numeric">182099</idno>
                  <idno type="halauthorid" notation="string">3933-182099</idno>
                  <affiliation ref="#struct-182194"/>
                </author>
                <author role="crp">
                  <persName>
                    <forename type="first">A.</forename>
                    <surname>Descatha</surname>
                  </persName>
                  <email type="md5">475ee94adf81619c2faea6ad0e97079e</email>
                  <email type="domain">univ-angers.fr</email>
                  <idno type="idhal" notation="string">alexis-descatha</idno>
                  <idno type="idhal" notation="numeric">181656</idno>
                  <idno type="halauthorid" notation="string">451620-181656</idno>
                  <idno type="ORCID">https://orcid.org/0000-0001-6028-3186</idno>
                  <idno type="IDREF">https://www.idref.fr/06769439X</idno>
                  <affiliation ref="#struct-182194"/>
                  <affiliation ref="#struct-1007733"/>
                </author>
              </analytic>
              <monogr>
                <idno type="halJournalId" status="VALID">37527</idno>
                <idno type="issn">1775-8785</idno>
                <title level="j">Archives des Maladies Professionnelles et de L'Environnement</title>
                <imprint>
                  <publisher>Elsevier Masson</publisher>
                  <biblScope unit="volume">84</biblScope>
                  <biblScope unit="issue">2</biblScope>
                  <biblScope unit="pp">-</biblScope>
                  <date type="datePub">2023</date>
                </imprint>
              </monogr>
              <idno type="doi">10.1016/j.admp.2022.101705</idno>
              <idno type="pii">S1775-8785(22)00436-2</idno>
            </biblStruct>
          </sourceDesc>
          <profileDesc>
            <langUsage>
              <language ident="en">English</language>
            </langUsage>
            <textClass>
              <keywords scheme="author">
                <term xml:lang="en">Matrix</term>
                <term xml:lang="en">Prevention</term>
                <term xml:lang="en">Machine learning</term>
                <term xml:lang="en">Disability</term>
              </keywords>
              <classCode scheme="halDomain" n="sdv">Life Sciences [q-bio]</classCode>
              <classCode scheme="halTypology" n="ART">Journal articles</classCode>
              <classCode scheme="halOldTypology" n="ART">Journal articles</classCode>
              <classCode scheme="halTreeTypology" n="ART">Journal articles</classCode>
            </textClass>
            <abstract xml:lang="en">
              <p>Introduction. - Job retention has become a priority in terms of occupational health. The risk of unfitness for work due to medical reasons is the main risk of professional disinsertion with health consequences. The objective is to create a &amp;quot;sector-job retention/disability matrix&amp;quot; as indicators of sectors at risk, using data from the local observatory on the island of Reunion. Method. - A retrospective study of data collected between 2017 and 2021 by the two occupa-tional health and prevention services on Reunion Island (Intermetra and SISTBI, excluding the civil service), was conducted. According to the activity sector classified by the French Nomen-clature of Activities 2008 (NAF), the number of incapacities per year and their proportion was described, as well as the number of employees benefiting from the obligation of employment of disabled worker &amp;quot;OETH&amp;quot; among these incapacities. Descriptive and predictive analyses using Machine Learning were performed. Results. - Between 2017 and 2021, an increase in incapacities and disabled worker employment obligations was observed on the observatory data. The main sectors, which are accommoda-tion and catering, human health and social action (including the home help sector), certain businesses such as food sales, the construction sector with masonry work, and the cleaning sector are at risk of professional displacement on these data in classic analysis. The creation of Machine Learning (in particular Elastic Net, Random Forest, Decision Tree) makes it possible to make predictions that must be verified over the following years. Conclusion. - In conclusion, this original approach by &amp;quot;sector-job retention/disability matrix&amp;quot;highlights the importance of the use of remarkable data collected daily by the occupational physicians of the Reunion Island in the framework of the prevention of job loss.</p>
            </abstract>
          </profileDesc>
        </biblFull>
      </listBibl>
    </body>
    <back>
      <listOrg type="structures">
        <org type="laboratory" xml:id="struct-182194" status="VALID">
          <idno type="IdRef">177984775</idno>
          <idno type="RNSR">201722263E</idno>
          <idno type="ROR">https://ror.org/01p178v10</idno>
          <idno type="Wikidata">Q30261433</idno>
          <orgName>Institut de recherche en santé, environnement et travail</orgName>
          <orgName type="acronym">Irset</orgName>
          <date type="start">2009-01-01</date>
          <desc>
            <address>
              <addrLine>263 avenue Général Leclerc 35042 Rennes Cedex</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.irset.org</ref>
          </desc>
          <listRelation>
            <relation active="#struct-74911" type="direct"/>
            <relation active="#struct-105160" type="direct"/>
            <relation active="#struct-301986" type="direct"/>
            <relation name="U1085" active="#struct-303623" type="direct"/>
            <relation active="#struct-453207" type="direct"/>
          </listRelation>
        </org>
        <org type="regrouplaboratory" xml:id="struct-1007733" status="VALID">
          <idno type="ROR">https://ror.org/01ff5td15</idno>
          <orgName>Donald and Barbara Zucker School of Medicine at Hofstra/Northwell [Hempstead, NY, USA]</orgName>
          <desc>
            <address>
              <addrLine>New Hyde Park, New York</addrLine>
              <country key="US"/>
            </address>
            <ref type="url">https://medicine.hofstra.edu/</ref>
          </desc>
          <listRelation>
            <relation active="#struct-147527" type="direct"/>
          </listRelation>
        </org>
        <org type="institution" xml:id="struct-74911" status="VALID">
          <idno type="IdRef">026402920</idno>
          <idno type="ISNI">0000000122483363</idno>
          <idno type="ROR">https://ror.org/04yrqp957</idno>
          <orgName>Université d'Angers</orgName>
          <orgName type="acronym">UA</orgName>
          <date type="start">1971-10-25</date>
          <desc>
            <address>
              <addrLine>Université d'Angers - 40 Rue de Rennes, BP 73532 - 49035 Angers CEDEX 01</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.univ-angers.fr/</ref>
          </desc>
        </org>
        <org type="institution" xml:id="struct-105160" status="VALID">
          <idno type="IdRef">26693823X</idno>
          <idno type="ROR">https://ror.org/015m7wh34</idno>
          <orgName>Université de Rennes</orgName>
          <orgName type="acronym">UR</orgName>
          <desc>
            <address>
              <addrLine>Campus de Beaulieu, 263 avenue Général Leclerc, CS 74205, 35042 RENNES CEDEX</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.univ-rennes.fr/</ref>
          </desc>
        </org>
        <org type="institution" xml:id="struct-301986" status="VALID">
          <idno type="IdRef">161356915</idno>
          <idno type="ISNI">0000 0001 1943 5037</idno>
          <idno type="ROR">https://ror.org/01sc83v92</idno>
          <orgName>École des Hautes Études en Santé Publique</orgName>
          <orgName type="acronym">EHESP</orgName>
          <date type="start">2008-01-01</date>
          <desc>
            <address>
              <addrLine>15, avenue du Pr. Léon Bernard - 35043 Rennes Cedex</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.ehesp.fr/</ref>
          </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-453207" status="VALID">
          <idno type="IdRef">200295462</idno>
          <idno type="RNSR">201220717W</idno>
          <idno type="ROR">https://ror.org/05cx7ek10</idno>
          <orgName>Structure Fédérative de Recherche en Biologie et Santé de Rennes</orgName>
          <orgName type="acronym">Biosit : Biologie - Santé - Innovation Technologique</orgName>
          <date type="start">2012-01-01</date>
          <desc>
            <address>
              <addrLine>Université de Rennes - Campus Santé Villejean -  2, avenue Professeur Léon Bernard 35043 Rennes cedex</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://biosit.univ-rennes.fr/</ref>
          </desc>
        </org>
        <org type="institution" xml:id="struct-147527" status="VALID">
          <orgName>Hofstra University [Hempstead]</orgName>
          <desc>
            <address>
              <addrLine>Hempstead, N.Y. 11549-1000</addrLine>
              <country key="US"/>
            </address>
            <ref type="url">http://www.hofstra.edu/home/</ref>
          </desc>
        </org>
      </listOrg>
    </back>
  </text>
</TEI>