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Authors: Fernando Ruiz-Rico ; Jose Luis Vicedo and María-Consuelo Rubio-Sánchez

Affiliation: University of Alicante, Spain

Keyword(s): Medical diagnosis, category ranking.

Abstract: This paper presents a real-world application for assisting medical diagnosis which relies on the exclusive use of machine learning techniques. We have automatically processed an extensive biomedical literature to train a categorization algorithm in order to provide it with the capability of matching symptoms to MeSH diseases descriptors. To interact with the classifier, we have developed a web interface so that professionals in medicine can easily get some help in their diagnostical decisions. We also demonstrate the effectiveness of this approach with a test set containing several hundreds of real clinical histories. A full operative version can be accessed on-line through the following site: www.dlsi.ua.es/omda/index.php.

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Paper citation in several formats:
Ruiz-Rico, F.; Luis Vicedo, J. and Rubio-Sánchez, M. (2008). MEDICAL DIAGNOSIS ASSISTANT BASED ON CATEGORY RANKING. In Proceedings of the First International Conference on Health Informatics (BIOSTEC 2008) - Volume 1: HEALTHINF; ISBN 978-989-8111-16-6; ISSN 2184-4305, SciTePress, pages 239-241. DOI: 10.5220/0001043602390241

@conference{healthinf08,
author={Fernando Ruiz{-}Rico. and Jose {Luis Vicedo}. and María{-}Consuelo Rubio{-}Sánchez.},
title={MEDICAL DIAGNOSIS ASSISTANT BASED ON CATEGORY RANKING},
booktitle={Proceedings of the First International Conference on Health Informatics (BIOSTEC 2008) - Volume 1: HEALTHINF},
year={2008},
pages={239-241},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001043602390241},
isbn={978-989-8111-16-6},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the First International Conference on Health Informatics (BIOSTEC 2008) - Volume 1: HEALTHINF
TI - MEDICAL DIAGNOSIS ASSISTANT BASED ON CATEGORY RANKING
SN - 978-989-8111-16-6
IS - 2184-4305
AU - Ruiz-Rico, F.
AU - Luis Vicedo, J.
AU - Rubio-Sánchez, M.
PY - 2008
SP - 239
EP - 241
DO - 10.5220/0001043602390241
PB - SciTePress

- Science and Technology Publications, Lda.
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