Development of an expert system (algorithm) to predict the effect of intrathecal drug administration

Fonte Standard Gras
Identifiant

Unité de recherche

INNOSUISSE

Numéro de projet

6569.2;7 MTS-LS

Titre du projet

Development of an expert system (algorithm) to predict the effect of intrathecal drug administration

Titre du projet anglais

Development of an expert system (algorithm) to predict the effect of intrathecal drug administration

Textes relatifs à ce projet

	Allemand	Français	Italien	Anglais
Description succincte	-	-	-
Résumé des résultats (Abstract)	-	-	-

Textes saisis

Catégorie	Texte
Description succincte (Anglais)	Development of an expert system (algorithm) to predict the effect of intrathecal drug administration
Résumé des résultats (Abstract) (Anglais)	The object of the project is to develop an expert system (software), which will automatically determine the anaesthetic delivery mode in response to the input of the most common patient needs. For this it is necessary to research physical parameters characterizing the anaesthetic delivery mode that can be mapped more or less one-toone onto the patient response. Laboratory experiments will be conducted to establish the link between anaesthetic concentration history and infusion mode.

Catégorie

Texte

Description succincte
(Anglais)

Development of an expert system (algorithm) to predict the effect of intrathecal drug administration

Résumé des résultats (Abstract)
(Anglais)

The object of the project is to develop an expert system (software), which will automatically determine the anaesthetic delivery mode in response to the input of the most common patient needs. For this it is necessary to research physical parameters characterizing the anaesthetic delivery mode that can be mapped more or less one-toone onto the patient response. Laboratory experiments will be conducted to establish the link between anaesthetic concentration history and infusion mode.