AN INFORMATION FILTERING SYSTEM FOR E-HEALTH - The Health-on-Net Experience

Nicola Capuano, Matteo Gaeta, Vincenza Precone, Mario Scherillo

Abstract

This paper describes a work performed in the framework of the HealthOnNet project purposed to define and implement an Internet-based repository of diagnostic exams and medical reports connecting several Italian hospitals. The repository, which will be used as an historical and legal archive of clinical data, offers second opinion teleconsulting features as well as advanced categorization and filtering services. The paper is focused on this latter point and describes the process and the algorithms we defined to automatically classify medical documents (with respect to the widely adopted International Classification of Diseases and Related Health Problems of the World Health Organization) and to filter them on the basis of a user defined profile. Then it describes the developed prototype and some experimentation results.

References

  1. Elstein, A.S., 2004. On the origins and development of evidence-based medicine and medical decision making In Inflammation Research, vol. 53 suppl. 2. Springer.
  2. Lewis, D.D., 1998. Naive (Bayes) at forty: The independence assumption in information retrieval. In Proc. of the 10th European Conference on Machine Learning (ECML-98), Chemnitz, Germany, pp. 4-15.
  3. NLM, 2008. Introduction to MeSH, U.S. National Library of Medicine, http://www.nlm.nih.gov/mesh/.
  4. Pratt, A., Sim, I., 1995. Physician's Information Customizer (PIC): Using a Shareable User Model to Filter the Medical Literature. In Proc. of the Int'l Conf. on Medical Informatics MEDINFO'95, pp.1447-1451.
  5. Salton, G., Buckley, C., 1988. Term-weighting approaches in automatic text retrieval in Information Processing & Management, vol. 24, no. 5, pp. 513-523. Elsevier.
  6. Santos, E., Nguyen, H., 2000. Medical Document Information Retrieval through Active User Interfaces. In Proceedings of the 2000 International Conference on Artificial Intelligence (IC-AI 782000), Las Vegas, NV.
  7. Sebastiani, F., 2002. Machine Learning in automated Text Categorization. In ACM Computing Surveys, vol. 34, no. 1, pp. 1-47. ACM .
  8. Van Rijsbergen, C.J., Robertson, S.E., Porter, M.F., 1980. New models in probabilistic information retrieval. British Library. London.
  9. WHO, 2004. The International Statistical Classification of Diseases and Related Health Problems ICD-10, World Health Organization, Geneva, 2nd Edition.
  10. Yang, Y., Pedersen, J.O., 1997. A comparative study on feature selection in text categorization. In Proc. of the 14th International Conference on Machine Learning (ICML-97), Nashville, TN, 1997, pp. 412-420.
Download


Paper Citation


in Harvard Style

Capuano N., Gaeta M., Precone V. and Scherillo M. (2010). AN INFORMATION FILTERING SYSTEM FOR E-HEALTH - The Health-on-Net Experience . In Proceedings of the Third International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2010) ISBN 978-989-674-016-0, pages 210-215. DOI: 10.5220/0002697402100215


in Bibtex Style

@conference{healthinf10,
author={Nicola Capuano and Matteo Gaeta and Vincenza Precone and Mario Scherillo},
title={AN INFORMATION FILTERING SYSTEM FOR E-HEALTH - The Health-on-Net Experience},
booktitle={Proceedings of the Third International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2010)},
year={2010},
pages={210-215},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002697402100215},
isbn={978-989-674-016-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2010)
TI - AN INFORMATION FILTERING SYSTEM FOR E-HEALTH - The Health-on-Net Experience
SN - 978-989-674-016-0
AU - Capuano N.
AU - Gaeta M.
AU - Precone V.
AU - Scherillo M.
PY - 2010
SP - 210
EP - 215
DO - 10.5220/0002697402100215