Artificial Intelligence in Public Health and Epidemiology.
Identifieur interne : 000A11 ( PubMed/Checkpoint ); précédent : 000A10; suivant : 000A12Artificial Intelligence in Public Health and Epidemiology.
Auteurs : Rodolphe Thiébaut [France] ; Frantz Thiessard [France]Source :
- Yearbook of medical informatics [ 2364-0502 ] ; 2018.
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Abstract
To introduce and summarize current research in the field of Public Health and Epidemiology Informatics.
DOI: 10.1055/s-0038-1667082
PubMed: 30157525
Affiliations:
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Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219, F-33000 Bordeaux</wicri:regionArea><placeName><region type="region" nuts="2">Nouvelle-Aquitaine</region><region type="old region" nuts="2">Aquitaine</region><settlement type="city">Bordeaux</settlement></placeName></affiliation></author><author><name sortKey="Thiessard, Frantz" sort="Thiessard, Frantz" uniqKey="Thiessard F" first="Frantz" last="Thiessard">Frantz Thiessard</name><affiliation wicri:level="3"><nlm:affiliation>Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219, F-33000 Bordeaux, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>Univ. 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Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219, F-33000 Bordeaux, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219, F-33000 Bordeaux</wicri:regionArea><placeName><region type="region" nuts="2">Nouvelle-Aquitaine</region><region type="old region" nuts="2">Aquitaine</region><settlement type="city">Bordeaux</settlement></placeName></affiliation></author><author><name sortKey="Thiessard, Frantz" sort="Thiessard, Frantz" uniqKey="Thiessard F" first="Frantz" last="Thiessard">Frantz Thiessard</name><affiliation wicri:level="3"><nlm:affiliation>Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219, F-33000 Bordeaux, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219, F-33000 Bordeaux</wicri:regionArea><placeName><region type="region" nuts="2">Nouvelle-Aquitaine</region><region type="old region" nuts="2">Aquitaine</region><settlement type="city">Bordeaux</settlement></placeName></affiliation></author></analytic><series><title level="j">Yearbook of medical informatics</title><idno type="eISSN">2364-0502</idno><imprint><date when="2018" type="published">2018</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Artificial Intelligence</term><term>Data Anonymization</term><term>Epidemiology</term><term>Machine Learning</term><term>Neural Networks, Computer</term><term>Public Health</term><term>Public Health Informatics</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Anonymisation des données</term><term>Apprentissage machine</term><term>Informatique en santé publique</term><term>Intelligence artificielle</term><term>Santé publique</term><term>Épidémiologie</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Artificial Intelligence</term><term>Data Anonymization</term><term>Epidemiology</term><term>Machine Learning</term><term>Neural Networks, Computer</term><term>Public Health</term><term>Public Health Informatics</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Anonymisation des données</term><term>Apprentissage machine</term><term>Informatique en santé publique</term><term>Intelligence artificielle</term><term>Santé publique</term><term>Épidémiologie</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"> To introduce and summarize current research in the field of Public Health and Epidemiology Informatics.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">30157525</PMID><DateCompleted><Year>2018</Year><Month>09</Month><Day>10</Day></DateCompleted><DateRevised><Year>2020</Year><Month>02</Month><Day>25</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">2364-0502</ISSN><JournalIssue CitedMedium="Internet"><Volume>27</Volume><Issue>1</Issue><PubDate><Year>2018</Year><Month>Aug</Month></PubDate></JournalIssue><Title>Yearbook of medical informatics</Title><ISOAbbreviation>Yearb Med Inform</ISOAbbreviation></Journal><ArticleTitle>Artificial Intelligence in Public Health and Epidemiology.</ArticleTitle><Pagination><MedlinePgn>207-210</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1055/s-0038-1667082</ELocationID><Abstract><AbstractText Label="OBJECTIVES" NlmCategory="OBJECTIVE"> To introduce and summarize current research in the field of Public Health and Epidemiology Informatics.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS"> The 2017 literature concerning public health and epidemiology informatics was searched in PubMed and Web of Science, and the returned references were reviewed by the two section editors to select 14 candidate best papers. These papers were then peer-reviewed by external reviewers to provide the editorial team with an enlightened vision to select the best papers.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS"> Among the 843 references retrieved from PubMed and Web of Science, two were finally selected as best papers. The first one analyzes the relationship between the disease, social/mass media, and public emotions to understand public overreaction (leading to a noticeable reduction of social and economic activities) in the context of a nation-wide outbreak of Middle East Respiratory Syndrome (MERS) in Korea in 2015. The second paper concerns a new methodology to de-identify patient notes in electronic health records based on artificial neural networks that outperformed existing methods.</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS"> Surveillance is still a productive topic in public health informatics but other very important topics in Public Health are appearing. For example, the use of artificial intelligence approaches is increasing.</AbstractText><CopyrightInformation>Georg Thieme Verlag KG Stuttgart.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y" EqualContrib="N"><LastName>Thiébaut</LastName><ForeName>Rodolphe</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219, F-33000 Bordeaux, France.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Centre Hospitalier Universitaire de Bordeaux, Service d'Information Médicale, F-33000 Bordeaux, France.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Inria, SISTM, F-33400 Talence, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y" EqualContrib="N"><LastName>Thiessard</LastName><ForeName>Frantz</ForeName><Initials>F</Initials><AffiliationInfo><Affiliation>Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219, F-33000 Bordeaux, France.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Centre Hospitalier Universitaire de Bordeaux, Service d'Information Médicale, F-33000 Bordeaux, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><CollectiveName>Section Editors for the IMIA Yearbook Section on Public Health and Epidemiology Informatics</CollectiveName></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D016454">Review</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2018</Year><Month>08</Month><Day>29</Day></ArticleDate></Article><MedlineJournalInfo><Country>Germany</Country><MedlineTA>Yearb Med Inform</MedlineTA><NlmUniqueID>9312666</NlmUniqueID><ISSNLinking>0943-4747</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D001185" MajorTopicYN="Y">Artificial Intelligence</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000068240" MajorTopicYN="N">Data Anonymization</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004813" MajorTopicYN="N">Epidemiology</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000069550" MajorTopicYN="N">Machine Learning</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D016571" MajorTopicYN="N">Neural Networks, Computer</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011634" MajorTopicYN="N">Public Health</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D040442" MajorTopicYN="Y">Public Health Informatics</DescriptorName></MeshHeading></MeshHeadingList><CoiStatement>Disclosure The authors report no 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