A belief rule-based decision support system for clinical risk assessment of cardiac chest pain
Authors:
- Guilan KongGKGuilan Kong
- Dong-Ling XuDXDong-Ling Xu
- Richard BodyRBRichard Body
- Jian-Bo YangJYJian-Bo Yang
- Kevin Mackway-JonesKMKevin Mackway-Jones
- Simon CarleySCSimon Carley
- 1 June 2012
- journal article
- research article
- Published by Elsevier in European Journal of Operational Research
- Vol. 219 (3) , 564-573
Abstract
No abstract availableKeywords
Funding Information
- UK Engineering
- Physical Science Research Council (EPSRC) (EP/F024606/1)
- EPSRC Knowledge Transfer Account scheme (KTA 031)
- The University of Manchester
- Biomedical Research Centre at Manchester Royal Infirmary
- Natural Science Foundation of China (60736026, 70925004)
This publication has 34 references indexed in Scilit:
- StAR: a simple tool for the statistical comparison of ROC curvesBMC Bioinformatics, 2008
- Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to successBMJ, 2005
- The health care burden of acute chest pain: Figure 1Heart, 2005
- Statistical Comparison of Two ROC-curve Estimates Obtained from Partially-paired DatasetsMedical Decision Making, 1998
- The use of the area under the ROC curve in the evaluation of machine learning algorithmsPattern Recognition, 1997
- An evidential reasoning approach for multiple-attribute decision making with uncertaintyIEEE Transactions on Systems, Man, and Cybernetics, 1994
- Prospective evaluation of an EDB-based diagnostic program to be used in patients admitted to hospital with acute chest painEuropean Heart Journal, 1993
- Decision support by computer analysis of selected case history variables in the emergency room among patients with acute chest painEuropean Heart Journal, 1993
- Basic principles of ROC analysisSeminars in Nuclear Medicine, 1978
- Computer-aided Diagnosis of Acute Abdominal PainBMJ, 1972