Synergistic case-based reasoning in medical domains

Expert Systems with Applications

Volumn 41, Issue 2, 2014, Pages 249-259

  Marling, Cindy ^a   Montani, Stefania ^b   Bichindaritz, Isabelle ^c   Funk, Peter ^d  

^a US Institute of Navigation   (United States)

^b UNIVERSITY OF EASTERN PIEDMONT   (Italy)

^c STATE UNIVERSITY OF NEW YORK AT OSWEGO   (United States)

^d MÄLARDALEN UNIVERSITY   (Sweden)

Author keywords

Case based reasoning; Clinical decision support systems; Medical informatics

Indexed keywords

CLINICAL DECISION SUPPORT SYSTEMS; COMPUTING METHODOLOGIES; END STAGE RENAL DISEASE; LONG-TERM FOLLOW-UP; MEDICAL INFORMATICS; MEDICAL RESEARCH; SUBJECTIVE INFORMATION; SYNERGISTIC SYSTEMS;

ARTIFICIAL INTELLIGENCE; DECISION SUPPORT SYSTEMS; DIAGNOSIS; DIALYSIS; HEMODIALYZERS; PATIENT TREATMENT; STEM CELLS;

MEDICAL INFORMATION SYSTEMS;

EID: 84885960318     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2013.05.063     Document Type: Article

References (34)

1. A. Aamodt, and E. Plaza Case-based reasoning: Foundational issues, methodological variations, and system approaches AI Communications 7 1994 39 59
2. R. Agrawal, C. Faloutsos, and A. Swami Efficient similarity search in sequence databases D. Lomet, Proceedings of the 4th interational conference of foundations of data organization and algorithms 1993 Springer 69 84
3. Ahmed, M., Begum, S., & Funk, P. (2012). A hybrid case-based system in stress diagnosis and treatment. In IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI2012).
4. Ahmed, M., Begum, S., Funk, P., & Xiong, N. (2009). Fuzzy rule-based classification to build initial case library for case-based stress diagnosis. In Proceedings of the 9th international conference on artificial intelligence and applications (AIA 2009) (pp. 225-230).
5. M.U. Ahmed, S. Begum, P. Funk, N. Xiong, and B. von Schéele A multi-module case-based biofeedback system for stress treatment Artificial Intelligence in Medicine 51 2011 107 115
6. S. Begum, M.U. Ahmed, P. Funk, N. Xiong, and M. Folke Case-based reasoning systems in the health sciences: A survey of recent trends and developments IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews 41 2011 421 434
7. S. Begum, M.U. Ahmed, P. Funk, N. Xiong, and B. von Schéele A case-based decision support system for individual stress diagnosis using fuzzy similarity matching Computational Intelligence 25 2009 180 195
8. R. Bellazzi, C. Larizza, and A. Riva Temporal abstractions for interpreting diabetic patients monitoring data Intelligent Data Analysis 2 1998 97 122
9. I. Bichindaritz Mémoire: A framework for semantic interoperability of case bases in biology and medicine Artificial Intelligence in Medicine 36 2006 177 192 (Pubitemid 43247421)
10. I. Bichindaritz Prototypical case mining from biomedical literature Applied Intelligence 28 2007 222 237
11. I. Bichindaritz, E. Kansu, and K.M. Sullivan Case-based reasoning in CARE-PARTNER: Gathering evidence for evidence-based medical practice B. Smyth, P. Cunningham, Advances in case-based reasoning: Fourth European workshop Proceedings EWCBR-98 1998 Springer-Verlag Berlin 334 345 (Pubitemid 128145888)
12. I. Bichindaritz, and C. Marling Case-based reasoning in the health sciences: Foundations and research directions I. Bichindaritz, S. Vaidya, A. Jain, L.C. Jain, Computational intelligence in healthcare 4: Advanced methodologies 2010 Springer Berlin 127 158
13. Diabetes Control and Complications Trial Research Group (1993). The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. New England Journal of Medicine, 329, 977-986.
14. P. Funk, and N. Xiong Case-based reasoning and knowledge discovery in medical applications with time series Computational Intelligence 22 2006 238 253 (Pubitemid 44699580)
15. M. Hetland A survey of recent methods for efficient retrieval of similar time sequences M. Last, A. Kandel, H. Bunke, Data mining in time series databases 2003 World Scientific London
16. Lamontagne, L., & Recio-García, J.A. (Eds.). (2012). Proceedings of the ICCBR 2012 Workshops. Lyon.
17. N.G. Leveson, and C.S. Turner An investigation of the Therac-25 accidents IEEE Computer 26 1993 18 41
18. C. Marling, J. Shubrook, and F. Schwartz Case-based decision support for patients with type 1 diabetes on insulin pump therapy K.-D. Althoff, R. Bergmann, M. Minor, A. Hanft, Advances in case-based reasoning: 9th European conference ECCBR 2008 Springer Berlin 325 339
19. C. Marling, J. Shubrook, and F. Schwartz Toward case-based reasoning for diabetes management: A preliminary clinical study and decision support system prototype Computational Intelligence 25 2009 165 179
20. C. Marling, M. Wiley, R. Bunescu, J. Shubrook, and F. Schwartz Emerging applications for intelligent diabetes management AI Magazine 33 2012 67 78
21. C. Marling, M. Wiley, T. Cooper, R. Bunescu, J. Shubrook, and F. Schwartz The 4 diabetes support system: A case study in CBR research and development A. Ram, N. Wiratunga, Case-based reasoning research and development: 19th international conference on case-based Reasoning ICCBR 2011 proceedings 2011 Springer Berlin 137 150
22. C.R. Marling, J.H. Shubrook, S.J. Vernier, M.T. Wiley, and F.L. Schwartz Characterizing blood glucose variability using new metrics with continuous glucose monitoring data Journal of Diabetes Science and Technology 5 2011 871 878
23. Medtronic (2012). Carelink personal software. . [accessed May, 2012].
24. S. Montani Exploring new roles for case-based reasoning in heterogeneous AI systems for medical decision support Applied Intelligence 28 2008 275 285 (Pubitemid 351667019)
25. S. Montani, G. Leonardi, A. Bottrighi, L. Portinale, and P. Terenziani Supporting flexible, efficient and user-interpretable retrieval of similar time series IEEE Transactions on Knowledge and Data Engineering 25 2011 677 689
26. S. Montani, and L. Portinale Accounting for the temporal dimension in case-based retrieval: A framework for medical applications Computational Intelligence 22 2006 208 223 (Pubitemid 44699578)
27. S. Montani, L. Portinale, G. Leonardi, R. Bellazzi, and R. Bellazzi Case-based retrieval to support the treatment of end stage renal failure patients Artificial Intelligence in Medicine 37 2006 31 42
28. National Library of Medicine (1995). The unified medical language system. . [accessed April, 2005].
29. F.L. Schwartz, S.J. Vernier, J.H. Shubrook, and C.R. Marling Evaluating the automated blood glucose pattern detection and case-retrieval modules of the 4 diabetes support system Journal of Diabetes Science and Technology 4 2010 1563 1569
30. Y. Shahar A framework for knowledge-based temporal abstractions Artificial Intelligence 90 1997 79 133
31. K.M. Sullivan, and M.F. Siadak Stem cell transplantation F.E. Johnson, K.S. Virgo, S.B. Edge, C.A. Pellegrini, G.J. Poston, S.P. Schantz, Cancer patient follow-up 1997 Mosby Year-Book Publications Louis, MO 490 501
32. M. Wiley, R. Bunescu, C. Marling, J. Shubrook, and F. Schwartz Automatic detection of excessive glycemic variability for diabetes management Proceedings of the tenth international conference on machine learning and applications (ICMLA-11) 2011 IEEE Press New York, NY 148 154
33. World Health Organization (2012). Diabetes. . [accessed May, 2012].
34. N. Xiong, and P. Funk Concise case indexing of time series in health care by means of key sequence discovery Applied Intelligence 28 2008 247 260 (Pubitemid 351667017)