Using ILIAD system shell to create an expert system for differential diagnosis of renal masses

Phei Lang Chang; Yu Chuan Li; Chi Ju Wu; Ming Hsiung Huang

doi:10.1007/BF01008530

Using ILIAD system shell to create an expert system for differential diagnosis of renal masses

Phei Lang Chang, Yu Chuan Li, Chi Ju Wu, Ming Hsiung Huang

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

Abstract

Differential diagnosis of renal masses is an important and difficult process. A renal mass diagnostic system (RMDS) developed by using the ILIAD expert system shell has been created for diagnostic consultations and patient simulations. Seventy-two cases of renal mass have been tested on this system and the diagnostic accuracy was compared to that of residents. The overall diagnostic accuracy (75%) for renal masses is significantly better than second-year urological residents (60%) and not worse than urological chief residents (71%). The expert system also displays the cost of the diagnostic procedures so that the user can choose the most cost-effective diagnostic process. We conclude that this powerful renal mass diagnosis system developed by using ILIAD system shell can be used as a teaching, self-training and clinical tool for urological residents.

Original language	English
Pages (from-to)	289-297
Number of pages	9
Journal	Journal of Medical Systems
Volume	17
Issue number	5
DOIs	https://doi.org/10.1007/BF01008530
Publication status	Published - Oct 1993
Externally published	Yes

ASJC Scopus subject areas

Information Systems
Health Information Management
Health Informatics
Medicine (miscellaneous)

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10.1007/BF01008530

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abstract = "Differential diagnosis of renal masses is an important and difficult process. A renal mass diagnostic system (RMDS) developed by using the ILIAD expert system shell has been created for diagnostic consultations and patient simulations. Seventy-two cases of renal mass have been tested on this system and the diagnostic accuracy was compared to that of residents. The overall diagnostic accuracy (75%) for renal masses is significantly better than second-year urological residents (60%) and not worse than urological chief residents (71%). The expert system also displays the cost of the diagnostic procedures so that the user can choose the most cost-effective diagnostic process. We conclude that this powerful renal mass diagnosis system developed by using ILIAD system shell can be used as a teaching, self-training and clinical tool for urological residents.",

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AU - Chang, Phei Lang

AU - Li, Yu Chuan

AU - Wu, Chi Ju

AU - Huang, Ming Hsiung

PY - 1993/10

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N2 - Differential diagnosis of renal masses is an important and difficult process. A renal mass diagnostic system (RMDS) developed by using the ILIAD expert system shell has been created for diagnostic consultations and patient simulations. Seventy-two cases of renal mass have been tested on this system and the diagnostic accuracy was compared to that of residents. The overall diagnostic accuracy (75%) for renal masses is significantly better than second-year urological residents (60%) and not worse than urological chief residents (71%). The expert system also displays the cost of the diagnostic procedures so that the user can choose the most cost-effective diagnostic process. We conclude that this powerful renal mass diagnosis system developed by using ILIAD system shell can be used as a teaching, self-training and clinical tool for urological residents.

AB - Differential diagnosis of renal masses is an important and difficult process. A renal mass diagnostic system (RMDS) developed by using the ILIAD expert system shell has been created for diagnostic consultations and patient simulations. Seventy-two cases of renal mass have been tested on this system and the diagnostic accuracy was compared to that of residents. The overall diagnostic accuracy (75%) for renal masses is significantly better than second-year urological residents (60%) and not worse than urological chief residents (71%). The expert system also displays the cost of the diagnostic procedures so that the user can choose the most cost-effective diagnostic process. We conclude that this powerful renal mass diagnosis system developed by using ILIAD system shell can be used as a teaching, self-training and clinical tool for urological residents.

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Using ILIAD system shell to create an expert system for differential diagnosis of renal masses

Abstract

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