SELECTING THE MOST ACCURATE FORECASTING METHOD FOR MEDICAL DIAGNOSIS. BREAST CANCER DIAGNOSIS - A Case Study

Marc Almiñana, Alejandro Rabasa, Laureano Santamaría, Laureano F. Escudero, Antonio F. Compañ, Agustín Pérez-Martín

Abstract

Different methods are usually applied for medical diagnosis problems. Most of them are only based on expert knowledge and the results are provided by model-driven methods and they are built from inflexible mathematical expressions. In this paper we suggest a Data-Driven perspective to facilitate the medical expert labour on diagnosis tasks. Furthermore, this paper offers a step by step procedure to select the most accurate forecasting method depending on the nature of the variables and the structure problem constraints. To validate such a selecting procedure, we apply it to a breast cancer diagnosis problem as a real case study.

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Paper Citation


in Harvard Style

Almiñana M., Rabasa A., Santamaría L., F. Escudero L., F. Compañ A. and Pérez-Martín A. (2010). SELECTING THE MOST ACCURATE FORECASTING METHOD FOR MEDICAL DIAGNOSIS. BREAST CANCER DIAGNOSIS - A Case Study . In Proceedings of the Third International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2010) ISBN 978-989-674-016-0, pages 142-148. DOI: 10.5220/0002590701420148


in Bibtex Style

@conference{healthinf10,
author={Marc Almiñana and Alejandro Rabasa and Laureano Santamaría and Laureano F. Escudero and Antonio F. Compañ and Agustín Pérez-Martín},
title={SELECTING THE MOST ACCURATE FORECASTING METHOD FOR MEDICAL DIAGNOSIS. BREAST CANCER DIAGNOSIS - A Case Study},
booktitle={Proceedings of the Third International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2010)},
year={2010},
pages={142-148},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002590701420148},
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 - SELECTING THE MOST ACCURATE FORECASTING METHOD FOR MEDICAL DIAGNOSIS. BREAST CANCER DIAGNOSIS - A Case Study
SN - 978-989-674-016-0
AU - Almiñana M.
AU - Rabasa A.
AU - Santamaría L.
AU - F. Escudero L.
AU - F. Compañ A.
AU - Pérez-Martín A.
PY - 2010
SP - 142
EP - 148
DO - 10.5220/0002590701420148