A Knowledge Based Framework for Case-specific Diagnosis

Ganesh Ram Santhanam, Gopalakrishnan Sivaprakasam, Giora Slutzki, Samik Basu

2015

Abstract

We present a framework whereby the expert knowledge of a domain is represented as a description logic knowledge base. Based on this framework, we present an approach that uses a knowledge based system for diagnosis that allows users to key in findings for a case, and obtain the corresponding differential diagnosis for a case. The framework also prompts hypothetical findings that can effectively guide the user towards a targeted diagnosis. The framework allows iterative and interactive updates of the case specific knowledge. Computing the differential diagnosis and hypotheses can be formulated directly as conjunctive queries on the original knowledge base using the case specific knowledge. We illustrate the applicability of our framework in the context of medical diagnosis, although the approach is equally applicable in a broad range of diagnosis problems such as network forensics and criminal investigation.

References

  1. Baader, F., Calvanese, D., McGuinness, D. L., Nardi, D., and Patel-Schneider, P. F., editors (2003). The Description Logic Handbook: Theory, Implementation, and Applications. Cambridge University Press.
  2. Baral, C., McIlraith, S., and Son, T. (2000). Formulating diagnostic problem solving using an action language with narratives and sensing. In Proceedings of the 7th International Conference on Principles of Knowledge Representation and Reasoning, pages 311-322.
  3. Barnett, G. O., Cimino, J. J., Hupp, J. A., and Hoffer, E. P. (1987). Dxplain: an evolving diagnostic decisionsupport system. Journal of the American Medical Association, 258(1):67-74.
  4. Ely, J. W., Graber, M. L., and Croskerry, P. (2011). Checklists to reduce diagnostic errors. Academic Medicine, 86:1040-2446.
  5. Glimm, B., Horrocks, I., Lutz, C., and Sattler, U. (2008). Conjunctive query answering for the description logic. Journal of artificial intelligence research, 31:157- 204.
  6. Hoffer, E. P., Feldman, M. J., Kim, R. J., Famiglietti, K. T., and Barnett, G. O. (2005). Dxplain: patterns of use of a mature expert system. In Proceedings of the Annual Symposium of the American Medical Informatics Association, volume 2005, pages 321-325.
  7. Jr, H. E., and Myers, J. D. (1982). Internist-I, an experimental computer-based diagnostic consultant for general internal medicine. New England Journal of Medicine, 307:468-476.
  8. Pilli, E. S., Joshi, R. C., and Niyogi, R. (2010). Network forensic frameworks: Survey and research challenges. Digital Investigation, 7(1):14-27.
  9. Ramnarayan, P., Tomlinson, A., Rao, A., Coren, M., Winrow, A., and Britto, J. (2003). Isabel: a web-based differential diagnostic aid for paediatrics: results from an initial performance evaluation. Archives of disease in childhood, 88(5):408-413.
  10. Sohrabi, S., Baier, J. A., and McIlraith, S. A. (2010). Diagnosis as planning revisited. In Proceedings of the 12th International Conference on the Principles of Knowledge Representation and Reasoning, pages 26-36.
  11. Szolovits, P., Patil, R. s., and Schwartz, W. b. (1988). Artificial intelligence in medical diagnosis. Annals of Internal Medicine, 108(1):80-87.
  12. Wang, W. and Daniels, T. E. (2008). A graph based approach toward network forensics analysis. ACM Transactions on Information and System Security, 12(1):4.
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Paper Citation


in Harvard Style

Ram Santhanam G., Sivaprakasam G., Slutzki G. and Basu S. (2015). A Knowledge Based Framework for Case-specific Diagnosis . In Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-074-1, pages 482-488. DOI: 10.5220/0005272104820488


in Bibtex Style

@conference{icaart15,
author={Ganesh Ram Santhanam and Gopalakrishnan Sivaprakasam and Giora Slutzki and Samik Basu},
title={A Knowledge Based Framework for Case-specific Diagnosis},
booktitle={Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2015},
pages={482-488},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005272104820488},
isbn={978-989-758-074-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - A Knowledge Based Framework for Case-specific Diagnosis
SN - 978-989-758-074-1
AU - Ram Santhanam G.
AU - Sivaprakasam G.
AU - Slutzki G.
AU - Basu S.
PY - 2015
SP - 482
EP - 488
DO - 10.5220/0005272104820488