GrippeAllemagneV3, Main, Exploration, bibRecord, 000532

A prognostic model for temporal courses that combines temporal abstraction and case-based reasoning.

Identifieur interne : 000532 ( Main/Exploration ); précédent : 000531; suivant : 000533

A prognostic model for temporal courses that combines temporal abstraction and case-based reasoning.

Auteurs : Rainer Schmidt [Allemagne] ; Lothar Gierl

Source :

Studies in health technology and informatics [ 0926-9630 ] ; 2003.

RBID : pubmed:14664048

Descripteurs français

KwdFr :
- Allemagne, Facteurs temps, Grippe humaine (épidémiologie), Humains, Incidence, Informatique médicale, Logique, Maladies du rein (anatomopathologie), Pensée (activité mentale), Pronostic, Évaluation des risques, Évolution de la maladie.
MESH :
- anatomopathologie : Maladies du rein.
- épidémiologie : Grippe humaine.
- Allemagne, Facteurs temps, Humains, Incidence, Informatique médicale, Logique, Pensée (activité mentale), Pronostic, Évaluation des risques, Évolution de la maladie.
Wicri :
- geographic : Allemagne.

English descriptors

KwdEn :
- Disease Progression, Germany, Humans, Incidence, Influenza, Human (epidemiology), Kidney Diseases (pathology), Logic, Medical Informatics, Prognosis, Risk Assessment, Thinking, Time Factors.
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

Affiliations:

Allemagne

Links toward previous steps (curation, corpus...)

to stream Main, to step Corpus: 000540
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Le document en format XML

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<term>Kidney Diseases (pathology)</term>
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<keywords scheme="MESH" qualifier="pathology" xml:lang="en"><term>Kidney Diseases</term>
</keywords>
<keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Grippe humaine</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Disease Progression</term>
<term>Humans</term>
<term>Incidence</term>
<term>Logic</term>
<term>Medical Informatics</term>
<term>Prognosis</term>
<term>Risk Assessment</term>
<term>Thinking</term>
<term>Time Factors</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Allemagne</term>
<term>Facteurs temps</term>
<term>Humains</term>
<term>Incidence</term>
<term>Informatique médicale</term>
<term>Logique</term>
<term>Pensée (activité mentale)</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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A prognostic model for temporal courses that combines temporal abstraction and case-based reasoning.

A prognostic model for temporal courses that combines temporal abstraction and case-based reasoning.

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri

Pour générer des pages wiki