Prediction of upper urinary tract calculi using an artificial neural network.
Article
in English
| IMSEAR
| ID: sea-44738
ABSTRACT
OBJECTIVES:
To evaluate the possibility of using an artificial neural network (ANN) in upper urinary tract calculi prediction. MATERIAL ANDMETHOD:
Data of 168 upper urinary tract calculi patients treated in the Division of Urology, Department of Surgery, Songklanagarind Hospital from January 1997 to December 2000 were reviewed and classified into 6 catagories and 20 characteristics. 100 items were used in training and 68 in testing for an ANN designed with 3 layers 20 nodes for an input layer, 5 nodes for a hidden layer and a node for the output.RESULTS:
Output data between 0-0.38 indicate free of calculi, 0.65-1 indicate prone to have calculi, 0.38-0.65 indicate probable calculi and further need investigation.CONCLUSION:
An ANN with error back-propagation training can be used in diagnosing the presence of upper urinary tract calculi. The accuracy of prediction depends on a previous history of calculi, nephrocalcinosis, 24 hour urine assay for citrate and urine culture.
Full text:
Available
Index:
IMSEAR (South-East Asia)
Main subject:
Humans
/
Urinary Calculi
/
Predictive Value of Tests
/
Reproducibility of Results
/
Neural Networks, Computer
Type of study:
Evaluation studies
/
Prognostic study
Language:
English
Year:
2004
Type:
Article
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