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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pubmed:14664048Le document en format XML
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<author><name sortKey="Gierl, Lothar" sort="Gierl, Lothar" uniqKey="Gierl L" first="Lothar" last="Gierl">Lothar Gierl</name>
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<term>Kidney Diseases (pathology)</term>
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<term>Prognosis</term>
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<front><div type="abstract" xml:lang="en">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.</div>
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<Title>Studies in health technology and informatics</Title>
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<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>
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