Medical diagnostic process optimization through the semantic integration of data resources

Computer Methods and Programs in Biomedicine

Volumn 95, Issue 2 SUPPL., 2009, Pages

  Podgorelec, Vili ^a   Grašič, Boštjan ^a   Pavlič, Luka ^a  

^a UNIVERSITY OF MARIBOR   (Slovenia)

Author keywords

Classification; Data management; Medical diagnostic process; Optimization; Semantic web

Indexed keywords

ALGORITHMIC OPTIMIZATION; ASSOCIATED COSTS; CLASSIFICATION; DATA ACCESS; DATA ACCESS POINT; DATA INTEGRATION; DATA MANAGEMENT; DATA RESOURCES; DIAGNOSTIC PROCESS; HEALTHCARE INDUSTRY; MACHINE LEARNING TECHNIQUES; MEDICAL DIAGNOSTIC PROCESS; MEDICAL DIAGNOSTICS; MITRAL VALVES; NEW APPROACHES; OPTIMIZED PROCESS; SEMANTIC INTEGRATION; WEB-BASED SYSTEM;

DATA HANDLING; EVOLUTIONARY ALGORITHMS; HEALTH CARE; LEARNING ALGORITHMS; OPTIMIZATION; PROCESS CONTROL; SEMANTIC WEB; SEMANTICS;

CLASSIFICATION (OF INFORMATION);

ACCESS TO INFORMATION; ARTICLE; CASE STUDY; DATA MINING; EVOLUTIONARY ALGORITHM; HEALTH CARE COST; HEALTH CARE INDUSTRY; HEALTH CARE PERSONNEL; HEALTH CARE UTILIZATION; HOSPITAL DEPARTMENT; HUMAN; INFORMATION PROCESSING; INTERNET; MACHINE LEARNING; MEDICAL INSTRUMENTATION; MITRAL VALVE PROLAPSE; PROCESS OPTIMIZATION; QUALITY CONTROL; SEMANTICS;

DIAGNOSIS; INTERNET; SYSTEMS INTEGRATION;

EID: 67650125692     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cmpb.2009.02.015     Document Type: Article

References (49)

1. In: Smith P.C. (Ed). Reforming Markets in Health Care-An Economic Perspective (2000), Open University Press, Buckingham
2. Kjerstad E. Prospective funding of general hospitals in Norway-incentives for higher production?. International Journal of Health Care Finance and Economics 3 4 (2003) 231-251
3. Mikkola H. Hospital pricing reform in the public health care system-an empirical case study from Finland. International Journal of Health Care Finance and Economics 3 4 (2003) 267-286
4. Wang B.B., Ozcan Y.A., Wan T.T.H., and Harrison J. Trends in hospital efficiency among metropolitan markets. Journal of Medical Systems 23 2 (1999) 83-97
5. Frech H.E., and Mobley L.R. Efficiency, growth, and concentration: an empirical analysis of hospital markets. Economic Inquiry 38 (2000) 369-384
6. Succi M.J., Lee S.D., and Alexander J.A. Effects of market position and competition on rural hospital closures. Health Services Research 31 (1997) 679-699
7. Williams D.J., Hadley J., and Pettengill J. Profits, community role, and hospital closure: an urban and rural analysis. Medical Care 30 (1992) 174-187
8. Dranove D., Simon C., and White W. Did managed care lead to increasing concentration in provider markets?. Health Services Research 37 3 (2002) 573-594
9. Lutz S., and Merger. acquisition activity hits record in 1st quarter, report says. Modern Healthcare 2-3 May 27 (1996)
10. Monroe S.M. The Hospital Acquisition Report (1999), Irving Levin Associates, Norwalk, CT
11. Dranove D., and Lindrooth R. Hospital consolidation and costs: another look at the evidence. Journal of Health Economics 22 6 (2003) 983-997
12. Ho V., and Hamilton B.H. Hospital mergers and acquisitions: does market consolidation harm patients?. Journal of Health Economics 19 5 (2000) 767-791
13. Deily M.E., McKay N.L., and Dorner F.H. Exit and inefficiency. Journal of Human Resources 35 (2000) 734-747
14. Ciliberto F., and Lindrooth R.C. Exit from the hospital industry. Economic Inquiry 45 1 (2007) 71-81
15. Lindrooth R.C., Lo Sasso A.T., and Bazzoli G.J. The effect of urban hospital closure on markets. Journal of Health Economics 22 5 (2003) 691-712
16. Snyder-Halpern R. Indicators of organizational readiness for clinical information technology/systems innovation: a Delphi study. International Journal of Medical Informatics 63 3 (2001) 179-204
17. Cutler D.M., and Huckman R.S. Technological development and medical productivity: the diffusion of angioplasty in New York state. Journal of Health Economics 22 2 (2003) 151-330
18. Newhouse J. Medical care costs: how much welfare loss?. Journal of Economic Perspectives 6 3 (1992) 3-21
19. Cutler D., and McClellan M. What is technological change?. In: Wise D. (Ed). Inquiries in the Economics of Aging (1998), University of Chicago Press
20. Cutler D., and McClellan M. Is technological change in medicine worth it?. Health Affairs 20 5 (2001) 11-29
21. Rosko M.D., and Chilingerian J.A. Estimating hospital inefficiency: does case mix matter?. Journal of Medical Systems 23 1 (1999) 83-97
22. Larsson A., Palmer M., Hulten G., and Tryding N. Wide variations among hospitals in use of laboratory tests: information and education to increase cost-effectiveness. Lakartidningen 97 39 (2000) 4300-4310
23. Sofer A., Zeng J., and Mun S.K. Optimal biopsy protocols for prostate cancer. Annals of Operations Research 119 1-4 (2003) 63-74
24. Shacklett B.L., et al. Optimization of methods to assess human mucosal T-cell responses to HIV infection. Immunological Methods 279 1-2 (2003) 17-31
25. Hristov D.H., and Fallone B.G. An active set algorithm for treatment planning optimization. Medical Physics 24 9 (1997) 1455-1464
26. Lof J., Lind B.K., and Brahme A. An adaptive control algorithm for optimization of intensity modulated radiotherapy considering uncertainties in beam profiles, patient set-up and internal organ motion. Physics in Medicine and Biology 43 6 (1998) 1605-1628
27. Yu Y., Schell M.C., and Zhang J.B. Decision theoretic steering and genetic algorithm optimization: application to stereotactic radiosurgery treatment planning. Medical Physics 24 11 (1997) 1742-1750
28. Lee E.K., Fox T., and Crocker I. Integer programming applied to intensity-modulated radiation therapy treatment planning. Annals of Operations Research 119 1 (2003) 165-181
29. Xiao Y., Michalski D., Galvin J.M., and Censor Y. The least-intensity feasible solution for aperture-based inverse planning in radiation therapy. Annals of Operations Research 119 1 (2003) 183-203
30. Ferris M.C., Lim J., and Shepard D.M. Radiosurgery treatment planning via nonlinear programming. Annals of Operations Research 119 1 (2003) 247-260
31. Brandeau M.L., Zaric G.S., and Richter A. Resource allocation for control of infectious diseases in multiple independent populations: beyond cost-effectiveness analysis. Journal of Health Economics 22 4 (2003) 575-598
32. In: Van Bemmel J.H., and Musen M.A. (Eds). Handbook of Medical Informatics (1997), Springer-Verlag, Heidelberg
33. Podgorelec V., and Kokol P. Towards more optimal medical diagnosing with evolutionary algorithms. Journal of Medical Systems 25 3 (2001) 195-219
34. Passin T.B. Explorers Guide to Semantic Web (2004), Manning, Greenwich
35. T. Berners-Lee, Business Model for the Semantic Web, 2001, http://www.w3.org/DesignIssues/Business.
36. O. Lassila, R.R. Swick, Resource Description Framework (RDF) Model and Syntax Specification, 1999, http://www.w3.org/TR/1999/REC-rdf-syntax-19990222/.
37. S. Bechhofer, F. Harmelen, J. Hendler, I. Horrocks, D.L. McGuinness, P.F. Patel-Schneider, L.A. Stein, OWL Web Ontology Language Reference, 2004, http://www.w3.org/TR/owl-ref/.
38. Lenz R., Beyer M., and Kuhn K. Semantic integration in healthcare networks. International Journal of Medical Informatics 76 2-3 (2007) 201-207
39. Knaup P., Garde S., and Haux R. Systematic planning of patient records for cooperative care and multicenter research. International Journal of Medical Informatics 76 2-3 (2007) 109-117
40. Angulo C., Crespo P., Maldonado J.A., Moner D., Robles M., Mandigorra J., Pérez D., and Abad I. Non-invasive lightweight integration engine for building EHR from autonomous distributed systems. International Journal of Medical Informatics 76 (2007) S417-S424
41. Orgun B., and Vu J. HL7 ontology and mobile agents for interoperability in heterogeneous medical information systems. Computers in Biology and Medicine 36 7-8 (2006) 817-836
42. Kashyap V., Morales A., Hongsermeier T., and Li Q. Definitions Management: A Semantics-based Approach for Clinical Documentation in Healthcare Delivery, The Semantic Web - ISWC 2005, vol. 3729 of Lecture Notes in Computer Science (2005), Springer, Berlin pp. 887-901
43. Anderson H.R., et al. Clinicians Illustrated Dictionary of Cardiology (1991), Science Press, London
44. Devereoux R. Diagnosis and prognosis of mitral valve prolapse. The New England Journal of Medicine 320 16 (1989) 1077-1079
45. Markiewicz W., et al. Mitral valve prolapse in one hundred presumably young females. Circulation 53 3 (1976) 464-473
46. Kokol P., et al. Decision trees and automatic learning and their use in cardiology. Journal of Medical Systems 19 4 (1994)
47. Podgorelec V., Kokol P., Molan Stiglic M., Hericko M., and Rozman I. Knowledge discovery with classification rules in a cardiovascular dataset. Computer Methods and Programs in Biomedicine 80 1 (2005) S39-S49
48. Quinlan J.R. C4.5: Programs for Machine Learning (1993), Morgan Kaufmann, San Francisco, CA
49. Machine Learning in C++, MLC++ library, http://www.sgi.com/tech/mlc.