Medical-treatment Recommendation and the Integration of Process Models into Knowledge-based Systems

Laia Subirats, Luigi Ceccaroni, Jose María Maroto, Carmen de Pablo, Felip Miralles

2014

Abstract

Decision making based on evidence other than human reasoning is becoming increasingly important in healthcare. Valuable evidence is in the form of treatment processes used by healthcare institutions and this paper presents a new framework for representing and modeling knowledge from these processes. Specifically, it presents the integration of data from literature, business processes and decision trees through workflows that cover the full cycle of health care, from diagnosis to prognosis and treatment. With respect to patient status, as single instants cannot convey sufficient information, time series are analyzed and classified to improve decision-making ability. The elicitation of new knowledge takes into account international standards, ontologies, information models, nomenclatures and multiple types of indicators. The integration of formal process-modeling in knowledge-based systems is exemplified by a real-world recommendation scenario. After evaluation with a medical-rehabilitation data set, results show a strong correspondence between treatment recommended by the proposed system and clinical practice.

References

  1. Calvo, M., Subirats, L., Ceccaroni, L., Maroto J. M., de Pablo, C., Miralles, F. Automatic assessment of socioeconomic impact in cardiac rehabilitation. Int. J. Environ. Res. Public Health, 10(11), 5266-5283, 2013.
  2. C. D. Chang, C. C. Wang and B. C. Jiang. Using DM techniques for multi-diseases prediction modeling of hypertension and hyperlipidemia by common risk factors. Expert Syst. Appl. 38(1):5507-5513, 2011.
  3. A. Cichocki, A. Helal, M. Rusinkiewicz and D. Woelk. Workflow and Process Automation. Kluwer Academic Publishers, 1998.
  4. K. Huang, H. Yang, I. King and M. R. Lyu. Maximizing sensitivity in medical diagnosis using biased minimax probability machine. IEEE Transactions on Biomedical Engineering, 53(5):821-831, 2006.
  5. B. Jafarpour, S. Raza Abidi and S. S. Raza Abidi. Exploiting OWL reasoning services to execute ontologically-modeled clinical practice guidelines. AIME 2011, LNCS, 6747: 307-311, 2011.
  6. N. Peek, R. Goud, N. de Keizer, M. van Engen-Verheul, H. Kemps and A. Hasman. CARDSS: Development and evaluation of a guideline based decision support system for cardiac rehabilitation. AIME 2011, LNCS, 6747:109-118, 2011.
  7. F. Smith, M. Missiko and M. Proietti. Ontology-based querying of composite services. Business System Manag. and Engineering, 7350:159-180, 2012.
  8. Subirats, L., Ceccaroni, L., Lopez-Blazquez, R., Miralles, F., García-Rudolph, A. and Tormos, J.M. Circles of Health: towards an advanced social network about disabilities of neurological origin. J. Biomed. Inform., 46(6), 1006-1029, 2013.
  9. A. Van, V. Gay, P. J. Kennedy, E. Barin, P. Leijdekkers. Understanding Risk Factors in Cardiac Rehabilitation Patients with Random Forests and Decision Trees. 9th ADM, 121: 11-22, 2011.
  10. Velasco, J. A, Cosín, J., Maroto, J. M., Muñiz, J., Casasnovas, J. A., Plaza, I. and Abadal, L. T. GPC en Prevención Cardiovascular y Rehabilitación Cardiaca de la Sociedad Esp. de Cardiología. Rev. Esp. Cardiol. 53: 8 1095-1120.
Download


Paper Citation


in Harvard Style

Subirats L., Ceccaroni L., María Maroto J., de Pablo C. and Miralles F. (2014). Medical-treatment Recommendation and the Integration of Process Models into Knowledge-based Systems . In Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-015-4, pages 491-498. DOI: 10.5220/0004822004910498


in Bibtex Style

@conference{icaart14,
author={Laia Subirats and Luigi Ceccaroni and Jose María Maroto and Carmen de Pablo and Felip Miralles},
title={Medical-treatment Recommendation and the Integration of Process Models into Knowledge-based Systems},
booktitle={Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2014},
pages={491-498},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004822004910498},
isbn={978-989-758-015-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Medical-treatment Recommendation and the Integration of Process Models into Knowledge-based Systems
SN - 978-989-758-015-4
AU - Subirats L.
AU - Ceccaroni L.
AU - María Maroto J.
AU - de Pablo C.
AU - Miralles F.
PY - 2014
SP - 491
EP - 498
DO - 10.5220/0004822004910498