Integrating case based and rule based reasoning in a decision support system: evaluation with simulated patients.

S. Montani; R. Bellazzi

Integrating case based and rule based reasoning in a decision support system: evaluation with simulated patients.

Risultato della ricerca: Contributo su rivista › Articolo in rivista › peer review

Abstract

We present a Web-based knowledge management and decision support system for Type I Diabetes patients' care. The tool exploits the integration of two methodologies, Case Based Reasoning and Rule Based Reasoning, and supports physicians in the definition of therapeutic strategies. Such a work is being integrated in the EU funded T-IDDM project architecture. In this paper we report a first evaluation obtained on simulated patients.

Lingua originale	Inglese
pagine (da-a)	887-891
Numero di pagine	5
Rivista	Proceedings / AMIA ... Annual Symposium. AMIA Symposium
Stato di pubblicazione	Pubblicato - 1999
Pubblicato esternamente	Sì

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abstract = "We present a Web-based knowledge management and decision support system for Type I Diabetes patients' care. The tool exploits the integration of two methodologies, Case Based Reasoning and Rule Based Reasoning, and supports physicians in the definition of therapeutic strategies. Such a work is being integrated in the EU funded T-IDDM project architecture. In this paper we report a first evaluation obtained on simulated patients.",

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AB - We present a Web-based knowledge management and decision support system for Type I Diabetes patients' care. The tool exploits the integration of two methodologies, Case Based Reasoning and Rule Based Reasoning, and supports physicians in the definition of therapeutic strategies. Such a work is being integrated in the EU funded T-IDDM project architecture. In this paper we report a first evaluation obtained on simulated patients.

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Integrating case based and rule based reasoning in a decision support system: evaluation with simulated patients.

Abstract

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