MEDICAL DIAGNOSIS ASSISTANT BASED ON CATEGORY RANKING

Fernando Ruiz-Rico, Jose Luis Vicedo, María-Consuelo Rubio-Sánchez

2008

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.

Paper Citation

in Harvard Style

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 - Volume 1: HEALTHINF, (BIOSTEC 2008) ISBN 978-989-8111-16-6, pages 239-241. DOI: 10.5220/0001043602390241

in Bibtex Style

@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 - Volume 1: HEALTHINF, (BIOSTEC 2008)},
year={2008},
pages={239-241},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001043602390241},
isbn={978-989-8111-16-6},
}

in EndNote Style

TY - CONF

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