- Pre-Operative Prediction of Advanced Prostatic Cancer Using Clinical Decision Support Systems: Accuracy Comparison between Support Vector Machine and Artificial Neural Network
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Kim SY, Moon SK, Jung DC, Hwang SI, Sung CK, Cho JY, Kim SH, Lee J, Lee HJ
- KMID: 1116444
- Korean J Radiol.
- 2011 Oct;12(5):588-594.
- doi: 10.3348/kjr.2011.12.5.588
OBJECTIVE: The purpose of the current study was to develop support vector machine (SVM) and artificial neural network (ANN) models for the pre-operative prediction of advanced prostate cancer by using... -
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- Implementation of Ontology-based Clinical Decision Support System for Management of Interactions Between Antihypertensive Drugs and Diet
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Park JE, Kim HS, Chang MJ, Hong HS
- KMID: 1796154
- J Korean Acad Nurs.
- 2014 Jun;44(3):294-304.
- doi: 10.4040/jkan.2014.44.3.294
PURPOSE: The influence of dietary composition on blood pressure is an important subject in healthcare. Interactions between antihypertensive drugs and diet (IBADD) is the most important factor in the management... -
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- Electronic nutritional intake assessment in patients with urolithiasis: A decision impact analysis
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Heningburg AM, Mohapatra , Potretzke , Park A, Paradis AG, Vetter J, Kuxhausen , McIntosh L, Juehne A, Desai AC, Andriole G, Benway BM
- KMID: 2426494
- Investig Clin Urol.
- 2016 May;57(3):196-201.
- doi: 10.4111/icu.2016.57.3.196
PURPOSE: To evaluate a physician's impression of a urinary stone patient's dietary intake and whether it was dependent on the medium through which the nutritional data were obtained. Furthermore, we... -
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