A prognostic model for temporal courses that combines temporal abstraction and case-based reasoning.
Identifieur interne : 000538 ( Main/Corpus ); précédent : 000537; suivant : 000539A prognostic model for temporal courses that combines temporal abstraction and case-based reasoning.
Auteurs : Rainer Schmidt ; Lothar GierlSource :
- Studies in health technology and informatics [ 0926-9630 ] ; 2003.
English descriptors
- KwdEn :
- MESH :
- geographic : Germany.
- epidemiology : Influenza, Human.
- pathology : Kidney Diseases.
- Disease Progression, Humans, Incidence, Logic, Medical Informatics, Prognosis, Risk Assessment, Thinking, Time Factors.
Abstract
Since clinical management of patients and clinical research are essentially time-oriented endeavours, reasoning about time has recently become a hot topic in medical informatics. Here we present a method for prognosis of temporal courses, which combines temporal abstractions with Case-based Reasoning. We have applied our method in two programs. The first one deals with multiparametric time course prognosis of the kidney function. The intention of the second program is to compute early warnings against approaching infectious diseases like influenza.
PubMed: 14664048
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Here we present a method for prognosis of temporal courses, which combines temporal abstractions with Case-based Reasoning. We have applied our method in two programs. The first one deals with multiparametric time course prognosis of the kidney function. The intention of the second program is to compute early warnings against approaching infectious diseases like influenza.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">14664048</PMID><DateCompleted><Year>2004</Year><Month>01</Month><Day>23</Day></DateCompleted><DateRevised><Year>2005</Year><Month>11</Month><Day>22</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">0926-9630</ISSN><JournalIssue CitedMedium="Print"><Volume>95</Volume><PubDate><Year>2003</Year></PubDate></JournalIssue><Title>Studies in health technology and informatics</Title><ISOAbbreviation>Stud Health Technol Inform</ISOAbbreviation></Journal><ArticleTitle>A prognostic model for temporal courses that combines temporal abstraction and case-based reasoning.</ArticleTitle><Pagination><MedlinePgn>571-6</MedlinePgn></Pagination><Abstract><AbstractText>Since clinical management of patients and clinical research are essentially time-oriented endeavours, reasoning about time has recently become a hot topic in medical informatics. Here we present a method for prognosis of temporal courses, which combines temporal abstractions with Case-based Reasoning. We have applied our method in two programs. The first one deals with multiparametric time course prognosis of the kidney function. The intention of the second program is to compute early warnings against approaching infectious diseases like influenza.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Schmidt</LastName><ForeName>Rainer</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>Institut für Medizinische Informatik und Biometrie, University of Rostock Rembrandtstr. 16/17, D-18055 Rostock, Germany.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Gierl</LastName><ForeName>Lothar</ForeName><Initials>L</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>Netherlands</Country><MedlineTA>Stud Health Technol Inform</MedlineTA><NlmUniqueID>9214582</NlmUniqueID><ISSNLinking>0926-9630</ISSNLinking></MedlineJournalInfo><CitationSubset>T</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D018450" MajorTopicYN="N">Disease Progression</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005858" MajorTopicYN="N" Type="Geographic">Germany</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015994" MajorTopicYN="N">Incidence</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007251" MajorTopicYN="N">Influenza, Human</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D007674" MajorTopicYN="N">Kidney Diseases</DescriptorName><QualifierName UI="Q000473" MajorTopicYN="N">pathology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008128" MajorTopicYN="N">Logic</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008490" MajorTopicYN="Y">Medical Informatics</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011379" MajorTopicYN="Y">Prognosis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018570" MajorTopicYN="Y">Risk Assessment</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013850" MajorTopicYN="Y">Thinking</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013997" MajorTopicYN="N">Time Factors</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>2003</Year><Month>12</Month><Day>11</Day><Hour>5</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2004</Year><Month>1</Month><Day>24</Day><Hour>5</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2003</Year><Month>12</Month><Day>11</Day><Hour>5</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">14664048</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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