A belief rule-based decision support system for clinical risk assessment of cardiac chest pain

European Journal of Operational Research

Volumn 219, Issue 3, 2012, Pages 564-573

  Kong, Guilan ^a   Xu, Dong Ling ^b   Body, Richard ^c   Yang, Jian Bo ^b   MacKway Jones, Kevin ^d   Carley, Simon ^d  

^a PEKING UNIVERSITY   (China)

^b UNIVERSITY OF MANCHESTER   (United Kingdom)

^c UNIVERSITY OF MANCHESTER   (United Kingdom)

^d MANCHESTER ROYAL INFIRMARY   (United Kingdom)

Author keywords

Belief rule base; Clinical risk assessment; Decision support systems; Evidential reasoning approach; OR in medicine; Uncertainty modeling

Indexed keywords

BELIEF RULE BASE; CHEST PAIN; CLINICAL DATA; CLINICAL DECISION SUPPORT SYSTEMS; DECISION SUPPORTS; DIAGNOSTIC PERFORMANCE; DOMAIN KNOWLEDGE; DOMAIN-SPECIFIC KNOWLEDGE; EVIDENTIAL REASONING APPROACHES; KNOWLEDGE BASE; LEARNING MODULES; PATIENT DATA; RISK STRATIFICATION; RULE-BASED DECISION SUPPORT SYSTEM; RULE-BASED INFERENCE; RULE-BASED PROTOTYPE; UNCERTAINTY MODELING;

ARTIFICIAL INTELLIGENCE; DECISION SUPPORT SYSTEMS; DIAGNOSIS; HOSPITAL DATA PROCESSING; KNOWLEDGE BASED SYSTEMS; RISK ASSESSMENT;

HEALTH;

EID: 84857922232     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ejor.2011.10.044     Document Type: Article

References (47)

1. O. Aase Clinical experience with a decision support computer program using bayes' theorem to diagnose chest pain patients Cardiology 92 1999 128 134 (Pubitemid 30135943)
2. O. Aase, J. Jonsbu, K. Liestol, A. Rollag, and J. Erikssen Decision support by computer analysis of selected case history variables in the emergency room among patients with acute chest pain Eur. Heart J. 14 1993 433 440 (Pubitemid 23120133)
3. S. Allender, V. Peto, P. Scarborough, A. Kaur, and M. Rayner Coronary Heart Disease Statistics 2008 British Heart Foundation London
4. Assanelli, D.; Cazzamalli, L.; Stambini, M.; Poeta, M.L. 1993. Correct diagnosis of chest pain by an integrated expert system. In: Proceedings Computers in Cardiology.
5. D.W. Bates, M. Cohen, L.L. Leape, J.M. Overhage, M.M. Shabot, and T. Sheridan Reducing the frequency of errors in medicine using information technology J. Am. Med. Inform. Assoc. 8 2001 299 308 (Pubitemid 32641632)
6. H.K. Bhargava, D.J. Power, and D. Sun Progress in Web-based decision support technologies Decis. Support Syst. 43 2007 1083 1095 (Pubitemid 47223452)
7. R. Body Emergent diagnosis of acute coronary syndromes: today's challenges and tomorrow's possibilities Resuscitation 78 2008 13 20
8. Body, R. 2009. Clinical decision rules to enable exclusion of acute coronary syndromes in the emergency department. Faculty of Health, Psychology and Social Care. Manchester, Manchester Metropolitan University.
9. R. Body, G. Mcdowell, S. Carley, and K. Mackway-Jones Do risk factors for chronic coronary heart disease help diagnose acute myocardial infarction in the emergency department? Resuscitation 79 2008 41 45
10. R. Body, S. Carley, C. Wibberley, G. Mcdowell, J. Ferguson, and K. Mackway-Jones The value of symptoms and signs in the emergent diagnosis of acute coronary syndromes Resuscitation 81 2010 281 286
11. R. Body, G. Mcdowell, S. Carley, J. Ferguson, and K. Mackway-Jones Diagnosing acute myocardial infarction with troponins: how low can you go? Emerg. Med. J. 27 2010 292 296
12. A.P. Bradley The use of the area under the ROC curve in the evaluation of machine learning algorithms Pattern Recognit. 30 1997 1145 1159 (Pubitemid 127406521)
13. M.L. Brandeau, F. Sainfort, and W.P. Pierskalla Health care delivery: current problems and future challenges M.L. Brandeau, F. Sainfort, W.P. Pierskalla, Operations Research and Health care: A Handbook of Methods and Application 2005 Kluwer Academic Publishers Boston
14. P.O. Collinson, S. Premachandram, K. Hashemi, and R.L. Kennedy Prospective audit of incidence of prognostically important myocardial damage in patients discharged from emergency department/ Commentary: Time for improved diagnosis and management of patients presenting with acute chest pain BMJ 320 2000 1702 1705
15. F.T. De Dombal, D.J. Leaper, J.R. Staniland, A.P. Mccann, and J.C. Horrocks Computer-aided diagnosis of acute abdominal pain Brit. Med. J. 2 5804 1972 5 9
16. Department of Health, 2004. Seven steps to patient safety. In: National Patient Safety Agency, D.O.H. (Ed.).
17. S. Goodacre, E. Cross, J. Arnold, K. Angelini, S. Capewell, and J. Nicholl The health care burden of acute chest pain Heart 91 2005 229 230
18. D. Hudson, and M. Cohen Management of uncertainty in a medical expert system B. Bouchon, R.R. Yager, Uncertainty in Knowledge-Based Systems: International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems 1987 Springer Berlin
19. D. Hudson, and M. Cohen A method for determination of evidential weighting factors in a medical expert system Uncertain. Intell. Syst. 1988
20. Hudson, D.L. Cohen, M.E. 2002 Use of intelligent agents in the diagnosis of cardiac disorders. In: Bencivelli, W.; Porenta, G. (Eds.) Computers in Cardiology, Tennessee IEEE.
21. H. Jin, and C.X. Ling Using AUC and accuracy in evaluating learning algorithms IEEE Trans. Knowled. Data Eng. 17 2005 299 310 (Pubitemid 40320164)
22. J. Jonsbu, O. Aase, A. Rollag, K. Liestol, and J. Erikssen Prospective evaluation of an EDB-based diagnostic program to be used in patients admitted to hospital with acute chest pain Eur. Heart J. 14 1993 441 446 (Pubitemid 23120134)
23. K. Kawamoto, C.A. Houlihan, E.A. Balas, and D.F. Lobach Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success BMJ 330 2005 765 772
24. Kong, G.L.; Xu, D.L. Yang, J.B. 2009 An evidence-adaptive belief rule-based decision support system for clinical risk assessment in emergency care. In: 23rd European Conference on Operational Research, Bonn, Germany.
25. L. Lin, P.J.-H. Hu, and O.R. Liu Sheng A decision support system for lower back pain diagnosis: uncertainty management and clinical evaluations Decis. Support Syst. 42 2006 1152 1169 (Pubitemid 44537488)
26. N. Menachemi, C. Saunders, A. Chukmaitov, M.C. Matthews, and R.G. Brooks Hospital adoption of information technologies and improved patient safety: a study of 98 hospitals in Florida J. Healthcare Manag. 52 2007 398 410
27. C.E. Metz Basic principles of ROC analysis Seminar. Nuclear Med. 8 1978 283 298 (Pubitemid 9075026)
28. C.E. Metz, B.A. Herman, and C.A. Roe Statistical comparison of two ROC-curve estimates from partially-paired datasets Med. Decis. Mak. 18 1998 110 121 (Pubitemid 28041647)
29. R.A. Miller, and A. Geissbuhler Clinical diagnostic decision support systems: an overview E.S. Berner, Clinical Decision Support Systems: Theory and Practice 1999 Springer New York-Verlag
30. Musen, M.; Shahar, Y. Shortliffe, E. 2006. Clinical Decision-Support Systems. In: Shortliffe, E.H. Cimino, J.J. (Eds.) Biomedical Informatics.
31. J. Reason Understanding adverse events: the human factor V. Charles, Clinical Risk Management: Enhancing Patient Safety Second ed. 2001 BMJ publishing house. London
32. G. Shafer A Mathematical Theory of Evidence 1976 Princeton University Press Princeton
33. E.H. Shortliffe Computer-Based Medical Consultations: MYCIN 1976 Elsevier New York
34. I. Sim, P. Gorman, R.A. Greenes, R.B. Haynes, B. Kaplan, H. Lehmann, and P.C. Tang Clinical decision support systems for the practice of evidence-based medicine J. Am. Med. Inform. Assoc. 8 2001 527 534 (Pubitemid 33095492)
35. Sommerville, I. 2007. Software engineering, essex, Person Education.
36. M. Stone Cross-validatory choice and assessment of statistical predictions J. Royal Stat. Soc. Ser. B(Methodological) 36 1974 111 147
37. P. Szolovits Uncertainty and decisions in medical informatics Methods Inform. Med. 34 1995 111 121
38. E.J. Thomas, and T.A. Brennan Errors and Adverse Events in Medicine: An Overview V. Charles, Clinical Risk Management: Enhancing Patient Safety 2001 BMJ publishing house London Second ed.
39. I. Vergara, T. Norambuena, E. Ferrada, A. Slater, and F. Melo StAR: a simple tool for the statistical comparison of ROC curves BMC Bioinform. 9 2008 265
40. Y.M. Wang, J.B. Yang, and D.L. Xu Environmental impact assessment using the evidential reasoning approach Eur. J. Oper. Res. 174 2006 1885 1913
41. H.R.J. Warner Iliad: moving medical decision-making into new frontiers Methods Inform. Med. 28 1989 370 372
42. J.B. Yang Rule and utility based evidential reasoning approach for multiattribute decision analysis under uncertainties Euro. J. Oper. Res. 131 2001 31 61
43. J.B. Yang, and M.G. Singh An evidential reasoning approach for multiple-attribute decision making with uncertainty IEEE T. Syst. Man Cybernet. 24 1994 1 18
44. J.B. Yang, and D.L. Xu On the evidential reasoning algorithm for multiple attribute decision analysis under uncertainty IEEE T. Syst. Man Cybernet. Part A-Syst. Humans 32 2002 289 304
45. J.B. Yang, J. Liu, J. Wang, H.S. Sii, and H.W. Wang Belief rule-base inference methodology using the evidential reasoning approach - RIMER IEEE T. Syst. Man Cybernet. Part A-Syst. Humans 36 2006 266 285 (Pubitemid 43280550)
46. J.B. Yang, J. Liu, D.L. Xu, J. Wang, and H. Wang Optimization models for training belief-rule-based systems IEEE T. Syst. Man Cybernet. Part A-Syst. Humans 37 2007 569 585 (Pubitemid 47018770)
47. Y. Yuan, S. Feldhamer, A. Gafni, F. Fyfe, and D. Ludwin The development and evaluation of a fuzzy logic expert system for renal transplantation assignment: is this a useful tool? Euro. J. Oper. Res. 142 2002 152 173 (Pubitemid 35171684)