Evaluation of inherent performance of intelligent medical decision support systems: utilising neural networks as an example

AE Smith; Christopher Nugent; SI McClean

doi:10.1016/S0933-3657(02)00088-X

Evaluation of inherent performance of intelligent medical decision support systems: utilising neural networks as an example

AE Smith, Christopher Nugent, SI McClean

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

Original language	English
Pages (from-to)	1-27
Journal	Artificial Intelligence in Medicine
Volume	27
Issue number	1
DOIs	https://doi.org/10.1016/S0933-3657(02)00088-X
Publication status	Published - 1 Jan 2003

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10.1016/S0933-3657(02)00088-X

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title = "Evaluation of inherent performance of intelligent medical decision support systems: utilising neural networks as an example",

author = "AE Smith and Christopher Nugent and SI McClean",

note = "Other Details ------------------------------------ This paper introduces a methodology for the performance evaluation of medical decision support systems and addresses, in part, the establishment of guidelines for evaluation criteria that will assist in the long-term acceptability of such decision support techniques within medical applications. This work was one of the main outputs from a Medical Research Council Fellowship and supported development of an extended evaluation framework evidenced through a series of publications. The work led to collaboration with the Royal Hospitals, Belfast, and the University of Ljubljana in evaluation of machine learning systems to predict length of hospital stay within a trauma unit.",

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