Psycholinguistics and Mental Health : from Assessment to Prevention
Identifieur interne : 000485 ( Hal/Corpus ); précédent : 000484; suivant : 000486Psycholinguistics and Mental Health : from Assessment to Prevention
Auteurs : Mathieu GuidèreSource :
Descripteurs français
- mix :
English descriptors
Abstract
The psycholinguistic analysis of the verbalizations of people suffering from mental health disorders (stress, anxiety, depression, suicidal ideation, etc.) now benefits from the contributions of predictive linguistics and from the techniques of machine learning in artificial intelligence. It thus allows patients' words to be taken into account in a more systematic and rigorous manner, in order to prevent illnesses and to improve care. Advances in this type of semi-automated analysis augur well for diagnosis aid systems in psychiatry and clinical psychology, as well as automated mental health monitoring systems. This article presents an overview of the foundations of this innovative methodology, with a practical application aimed at the assessment and analysis of psychotrauma following a pandemic.
Url:
Links to Exploration step
Hal:inserm-02520011Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Psycholinguistics and Mental Health : from Assessment to Prevention</title>
<title xml:lang="fr">Psycholinguistique et Santé mentale : de l'évaluation à la prévention</title>
<author><name sortKey="Guidere, Mathieu" sort="Guidere, Mathieu" uniqKey="Guidere M" first="Mathieu" last="Guidère">Mathieu Guidère</name>
<affiliation><hal:affiliation type="laboratory" xml:id="struct-106188" status="VALID"> <idno type="IdRef">156182254</idno>
<idno type="ISNI">0000 0004 0638 6872 </idno>
<idno type="RNSR">201019083D</idno>
<orgName>Centre de recherche en épidémiologie et santé des populations</orgName>
<orgName type="acronym">CESP</orgName>
<desc> <address> <addrLine>16 avenue Paul Vaillant Couturier 94807 Villejuif Cedex, France</addrLine>
<country key="FR"></country>
</address>
</desc>
<listRelation> <relation name="UMR U1018" active="#struct-81173" type="direct"></relation>
<relation active="#struct-92966" type="direct"></relation>
<relation active="#struct-300068" type="direct"></relation>
<relation active="#struct-300153" type="direct"></relation>
<relation name="U1018" active="#struct-303623" type="direct"></relation>
</listRelation>
<tutelles><tutelle name="UMR U1018" active="#struct-81173" type="direct"><org type="institution" xml:id="struct-81173" status="VALID"> <idno type="IdRef">03082057X</idno>
<idno type="ISNI">0000 0001 2323 0229 </idno>
<orgName>Université de Versailles Saint-Quentin-en-Yvelines</orgName>
<orgName type="acronym">UVSQ</orgName>
<date type="start">1991-07-22</date>
<desc> <address> <addrLine>55 avenue de Paris - 78035 Versailles cedex</addrLine>
<country key="FR"></country>
</address>
<ref type="url">http://www.uvsq.fr/</ref>
</desc>
</org>
</tutelle>
<tutelle active="#struct-92966" type="direct"><org type="institution" xml:id="struct-92966" status="VALID"> <orgName>Université Paris-Sud - Paris 11</orgName>
<orgName type="acronym">UP11</orgName>
<desc> <address> <addrLine>Bâtiment 300 - 91405 Orsay cedex</addrLine>
<country key="FR"></country>
</address>
<ref type="url">http://www.u-psud.fr/</ref>
</desc>
</org>
</tutelle>
<tutelle active="#struct-300068" type="direct"><org type="regroupinstitution" xml:id="struct-300068" status="VALID"> <orgName>Assistance publique - Hôpitaux de Paris (AP-HP)</orgName>
<orgName type="acronym">APHP</orgName>
<desc> <address> <country key="FR"></country>
</address>
</desc>
</org>
</tutelle>
<tutelle active="#struct-300153" type="direct"><org type="institution" xml:id="struct-300153" status="VALID"> <orgName>Hôpital Paul Brousse</orgName>
<desc> <address> <addrLine>12 Avenue Paul Vaillant Couturier, 94800 Villejuif</addrLine>
<country key="FR"></country>
</address>
</desc>
</org>
</tutelle>
<tutelle name="U1018" active="#struct-303623" type="direct"><org type="institution" xml:id="struct-303623" status="VALID"> <idno type="IdRef">026388278</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"></country>
</address>
<ref type="url">http://www.inserm.fr</ref>
</desc>
</org>
</tutelle>
</tutelles>
</hal:affiliation>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">HAL</idno>
<idno type="RBID">Hal:inserm-02520011</idno>
<idno type="halId">inserm-02520011</idno>
<idno type="halUri">https://www.hal.inserm.fr/inserm-02520011</idno>
<idno type="url">https://www.hal.inserm.fr/inserm-02520011</idno>
<date when="2020-03-01">2020-03-01</date>
<idno type="wicri:Area/Hal/Corpus">000485</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en">Psycholinguistics and Mental Health : from Assessment to Prevention</title>
<title xml:lang="fr">Psycholinguistique et Santé mentale : de l'évaluation à la prévention</title>
<author><name sortKey="Guidere, Mathieu" sort="Guidere, Mathieu" uniqKey="Guidere M" first="Mathieu" last="Guidère">Mathieu Guidère</name>
<affiliation><hal:affiliation type="laboratory" xml:id="struct-106188" status="VALID"> <idno type="IdRef">156182254</idno>
<idno type="ISNI">0000 0004 0638 6872 </idno>
<idno type="RNSR">201019083D</idno>
<orgName>Centre de recherche en épidémiologie et santé des populations</orgName>
<orgName type="acronym">CESP</orgName>
<desc> <address> <addrLine>16 avenue Paul Vaillant Couturier 94807 Villejuif Cedex, France</addrLine>
<country key="FR"></country>
</address>
</desc>
<listRelation> <relation name="UMR U1018" active="#struct-81173" type="direct"></relation>
<relation active="#struct-92966" type="direct"></relation>
<relation active="#struct-300068" type="direct"></relation>
<relation active="#struct-300153" type="direct"></relation>
<relation name="U1018" active="#struct-303623" type="direct"></relation>
</listRelation>
<tutelles><tutelle name="UMR U1018" active="#struct-81173" type="direct"><org type="institution" xml:id="struct-81173" status="VALID"> <idno type="IdRef">03082057X</idno>
<idno type="ISNI">0000 0001 2323 0229 </idno>
<orgName>Université de Versailles Saint-Quentin-en-Yvelines</orgName>
<orgName type="acronym">UVSQ</orgName>
<date type="start">1991-07-22</date>
<desc> <address> <addrLine>55 avenue de Paris - 78035 Versailles cedex</addrLine>
<country key="FR"></country>
</address>
<ref type="url">http://www.uvsq.fr/</ref>
</desc>
</org>
</tutelle>
<tutelle active="#struct-92966" type="direct"><org type="institution" xml:id="struct-92966" status="VALID"> <orgName>Université Paris-Sud - Paris 11</orgName>
<orgName type="acronym">UP11</orgName>
<desc> <address> <addrLine>Bâtiment 300 - 91405 Orsay cedex</addrLine>
<country key="FR"></country>
</address>
<ref type="url">http://www.u-psud.fr/</ref>
</desc>
</org>
</tutelle>
<tutelle active="#struct-300068" type="direct"><org type="regroupinstitution" xml:id="struct-300068" status="VALID"> <orgName>Assistance publique - Hôpitaux de Paris (AP-HP)</orgName>
<orgName type="acronym">APHP</orgName>
<desc> <address> <country key="FR"></country>
</address>
</desc>
</org>
</tutelle>
<tutelle active="#struct-300153" type="direct"><org type="institution" xml:id="struct-300153" status="VALID"> <orgName>Hôpital Paul Brousse</orgName>
<desc> <address> <addrLine>12 Avenue Paul Vaillant Couturier, 94800 Villejuif</addrLine>
<country key="FR"></country>
</address>
</desc>
</org>
</tutelle>
<tutelle name="U1018" active="#struct-303623" type="direct"><org type="institution" xml:id="struct-303623" status="VALID"> <idno type="IdRef">026388278</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"></country>
</address>
<ref type="url">http://www.inserm.fr</ref>
</desc>
</org>
</tutelle>
</tutelles>
</hal:affiliation>
</affiliation>
</author>
</analytic>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>Psycholinguistics</term>
<term>artificial intelligence</term>
<term>mental health</term>
<term>pandemic</term>
<term>predictive</term>
<term>psychotrauma</term>
</keywords>
<keywords scheme="mix" xml:lang="fr"><term>Intelligence artificielle -- Logiciels</term>
<term>Psycholinguistics</term>
<term>Psycholinguistique</term>
<term>Psychotraumatisme</term>
<term>Santé mentale secteur psychiatrique</term>
<term>artificial intelligence</term>
<term>mental health</term>
<term>pandemic</term>
<term>prédictive</term>
<term>psychotrauma</term>
<term>épidémiologie</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en"> <p>The psycholinguistic analysis of the verbalizations of people suffering from mental health disorders (stress, anxiety, depression, suicidal ideation, etc.) now benefits from the contributions of predictive linguistics and from the techniques of machine learning in artificial intelligence. It thus allows patients' words to be taken into account in a more systematic and rigorous manner, in order to prevent illnesses and to improve care. Advances in this type of semi-automated analysis augur well for diagnosis aid systems in psychiatry and clinical psychology, as well as automated mental health monitoring systems. This article presents an overview of the foundations of this innovative methodology, with a practical application aimed at the assessment and analysis of psychotrauma following a pandemic.</p>
</div>
</front>
</TEI>
<hal api="V3"> <titleStmt> <title xml:lang="en">Psycholinguistics and Mental Health : from Assessment to Prevention</title>
<title xml:lang="fr">Psycholinguistique et Santé mentale : de l'évaluation à la prévention</title>
<author role="aut"> <persName> <forename type="first">Mathieu</forename>
<surname>Guidère</surname>
</persName>
<email type="md5">fa4481cc7f0cb7065d0e1c7a0d30f3b8</email>
<email type="domain">inserm.fr</email>
<ptr type="url" target="http://www.guidere.org"></ptr>
<idno type="idhal" notation="string">mathieu-guidere</idno>
<idno type="idhal" notation="numeric">183462</idno>
<idno type="halauthorid">984077</idno>
<affiliation ref="#struct-106188"></affiliation>
<affiliation ref="#struct-494316"></affiliation>
</author>
<editor role="depositor"> <persName> <forename>mathieu</forename>
<surname>guidere</surname>
</persName>
<email type="md5">fa4481cc7f0cb7065d0e1c7a0d30f3b8</email>
<email type="domain">inserm.fr</email>
</editor>
</titleStmt>
<editionStmt> <edition n="v1"> <date type="whenSubmitted">2020-03-26 13:13:39</date>
</edition>
<edition n="v2" type="current"> <date type="whenSubmitted">2020-04-13 21:22:33</date>
<date type="whenModified">2020-04-16 01:42:23</date>
<date type="whenReleased">2020-04-14 09:59:05</date>
<date type="whenProduced">2020-03-01</date>
<date type="whenEndEmbargoed">9999-12-31</date>
<ref type="file" target="https://www.hal.inserm.fr/inserm-02520011v2/document"> <date notBefore="9999-12-31"></date>
</ref>
<ref type="file" subtype="author" n="1" target="https://www.hal.inserm.fr/inserm-02520011/file/Article%20GUIDERE%20_%20Psycholinguistique%20et%20Sant%C3%A9%20mentale%20_%20JARHSS%20_%202020.pdf"> <date notBefore="9999-12-31"></date>
</ref>
</edition>
<respStmt> <resp>contributor</resp>
<name key="877111"> <persName> <forename>mathieu</forename>
<surname>guidere</surname>
</persName>
<email type="md5">fa4481cc7f0cb7065d0e1c7a0d30f3b8</email>
<email type="domain">inserm.fr</email>
</name>
</respStmt>
</editionStmt>
<publicationStmt> <distributor>CCSD</distributor>
<idno type="halId">inserm-02520011</idno>
<idno type="halUri">https://www.hal.inserm.fr/inserm-02520011</idno>
<idno type="halBibtex">guidere:inserm-02520011</idno>
<idno type="halRefHtml">Journal of Applied Research in Human & Social Sciences, 2020, 1</idno>
<idno type="halRef">Journal of Applied Research in Human & Social Sciences, 2020, 1</idno>
</publicationStmt>
<seriesStmt> <idno type="stamp" n="INSERM">INSERM - Institut national de la santé et de la recherche médicale</idno>
<idno type="stamp" n="UNIV-PSUD">Université Paris Sud - Paris XI</idno>
<idno type="stamp" n="CESP" corresp="INSERM">Centre de recherche en Épidémiologie et Santé des Populations</idno>
<idno type="stamp" n="APHP" corresp="INSERM">AP-HP</idno>
<idno type="stamp" n="UVSQ">Université de Versailles Saint-Quentin-en-Yvelines</idno>
<idno type="stamp" n="INSERM-SACLAY" corresp="UNIV-PARIS-SACLAY">INSERM-SACLAY</idno>
<idno type="stamp" n="UVSQ-SACLAY" corresp="UNIV-PARIS-SACLAY">UVSQ-SACLAY</idno>
<idno type="stamp" n="UNIV-PSUD-SACLAY" corresp="UNIV-PARIS-SACLAY">Université Paris Sud pour Paris Saclay</idno>
<idno type="stamp" n="UNIV-PARIS-SACLAY">Université Paris-Saclay</idno>
<idno type="stamp" n="UNIVERSITE-PARIS" corresp="UNIV-PARIS">Université de Paris</idno>
<idno type="stamp" n="UNIV-PARIS">Université de Paris</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">Psycholinguistics and Mental Health : from Assessment to Prevention</title>
<title xml:lang="fr">Psycholinguistique et Santé mentale : de l'évaluation à la prévention</title>
<author role="aut"> <persName> <forename type="first">Mathieu</forename>
<surname>Guidère</surname>
</persName>
<email type="md5">fa4481cc7f0cb7065d0e1c7a0d30f3b8</email>
<email type="domain">inserm.fr</email>
<ptr type="url" target="http://www.guidere.org"></ptr>
<idno type="idhal" notation="string">mathieu-guidere</idno>
<idno type="idhal" notation="numeric">183462</idno>
<idno type="halauthorid">984077</idno>
<affiliation ref="#struct-106188"></affiliation>
<affiliation ref="#struct-494316"></affiliation>
</author>
</analytic>
<monogr> <idno type="halJournalId" status="INCOMING">151398</idno>
<title level="j">Journal of Applied Research in Human & Social Sciences</title>
<imprint> <biblScope unit="volume">1</biblScope>
<date type="datePub">2020-03-01</date>
</imprint>
</monogr>
</biblStruct>
</sourceDesc>
<profileDesc> <langUsage> <language ident="fr">French</language>
</langUsage>
<textClass> <keywords scheme="author"> <term xml:lang="en">Psycholinguistics</term>
<term xml:lang="en">predictive</term>
<term xml:lang="en">artificial intelligence</term>
<term xml:lang="en">mental health</term>
<term xml:lang="en">psychotrauma</term>
<term xml:lang="en">pandemic</term>
<term xml:lang="fr">psychotrauma</term>
<term xml:lang="fr">mental health</term>
<term xml:lang="fr">artificial intelligence</term>
<term xml:lang="fr">épidémiologie</term>
<term xml:lang="fr">Psycholinguistics</term>
<term xml:lang="fr">Santé mentale secteur psychiatrique</term>
<term xml:lang="fr">Psychotraumatisme</term>
<term xml:lang="fr">Intelligence artificielle -- Logiciels</term>
<term xml:lang="fr">Psycholinguistique</term>
<term xml:lang="fr">prédictive</term>
<term xml:lang="fr">pandemic</term>
</keywords>
<classCode scheme="halDomain" n="scco">Cognitive science</classCode>
<classCode scheme="halDomain" n="scco.comp">Cognitive science/Computer science</classCode>
<classCode scheme="halDomain" n="scco.ling">Cognitive science/Linguistics</classCode>
<classCode scheme="halDomain" n="scco.psyc">Cognitive science/Psychology</classCode>
<classCode scheme="halTypology" n="ART">Journal articles</classCode>
</textClass>
<abstract xml:lang="en"> <p>The psycholinguistic analysis of the verbalizations of people suffering from mental health disorders (stress, anxiety, depression, suicidal ideation, etc.) now benefits from the contributions of predictive linguistics and from the techniques of machine learning in artificial intelligence. It thus allows patients' words to be taken into account in a more systematic and rigorous manner, in order to prevent illnesses and to improve care. Advances in this type of semi-automated analysis augur well for diagnosis aid systems in psychiatry and clinical psychology, as well as automated mental health monitoring systems. This article presents an overview of the foundations of this innovative methodology, with a practical application aimed at the assessment and analysis of psychotrauma following a pandemic.</p>
</abstract>
<abstract xml:lang="fr"> <p>L'analyse psycholinguistique des verbalisations des personnes souffrant de désordres de santé mentale (stress, anxiété, dépression, idéation suicidaire, etc.) bénéficie désormais des apports de la linguistique prédictive et des techniques d'apprentissage de l'intelligence artificielle. Elle permet ainsi de prendre en considération la parole des patients de manière plus systématique et plus rigoureuse, et cela en vue de la prévention et de l'amélioration du soin. Les progrès réalisées dans ce type d'analyses semi-automatisées augurent de système d'aide au diagnostic en psychiatrie et en psychologie clinique, ainsi que de systèmes de veille automatisés en santé mentale. Le présent article présente un aperçu des fondements de cette méthodologie innovante, avec une application pratique visant l'évaluation et l'analyse des psychotraumatismes dus à une pandémie. Mots-clés: Psycholinguistique, prédictive, intelligence artificielle, santé mentale, psychotraumatisme, pandémie.</p>
</abstract>
</profileDesc>
</hal>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Sante/explor/PandemieGrippaleV1/Data/Hal/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000485 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Hal/Corpus/biblio.hfd -nk 000485 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Sante |area= PandemieGrippaleV1 |flux= Hal |étape= Corpus |type= RBID |clé= Hal:inserm-02520011 |texte= Psycholinguistics and Mental Health : from Assessment to Prevention }}
![]() | This area was generated with Dilib version V0.6.34. | ![]() |