A Methodology Based on Subgroup Discovery to Generate Reduced Subgroup Sets for Patient Phenotyping

Antonio Lopez-Martinez-Carrasco, Jose Juarez, Manuel Campos, Manuel Campos, Bernardo Canovas-Segura

2024

Abstract

Subgroup Discovery (SD) is a supervised machine learning technique that mines a set of easily readable features of patients with a medical condition in the form of a subgroup set (called patient phenotype). However, using only the output obtained by a single execution of an SD algorithm hinders the discovery of the best phenotypes since it is difficult for clinicians to choose the most suitable algorithm, its best hyperparameters and the quality measure. Therefore, we propose a new phenotyping approach based on SD that evaluates the outcomes of different SD algorithms to obtain a final patient phenotype with a reduced dependency on the initial conditions of these executions and to ensure diversity in terms of coverage of the subgroups from this phenotype. For that, we first define the problem of mining a patient phenotype in the form of a reduced subgroup set and, after that, we propose a new 6-step methodology to tackle this problem. Moreover, we carry out experiments driven by this methodology and focused on the antibiotic resistance problem by using the MIMIC-III public database and the patients infected by an Enteroccous Sp. bacterium resistant to Vancomycin as a target. Finally, we obtain a phenotype formed of 7 subgroups.

Paper Citation

in Harvard Style

Lopez-Martinez-Carrasco A., Juarez J., Campos M. and Canovas-Segura B. (2024). A Methodology Based on Subgroup Discovery to Generate Reduced Subgroup Sets for Patient Phenotyping. In Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF; ISBN 978-989-758-688-0, SciTePress, pages 346-353. DOI: 10.5220/0012321200003657

in Bibtex Style

@conference{healthinf24,
author={Antonio Lopez-Martinez-Carrasco and Jose Juarez and Manuel Campos and Bernardo Canovas-Segura},
title={A Methodology Based on Subgroup Discovery to Generate Reduced Subgroup Sets for Patient Phenotyping},
booktitle={Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF},
year={2024},
pages={346-353},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012321200003657},
isbn={978-989-758-688-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF
TI - A Methodology Based on Subgroup Discovery to Generate Reduced Subgroup Sets for Patient Phenotyping
SN - 978-989-758-688-0
AU - Lopez-Martinez-Carrasco A.
AU - Juarez J.
AU - Campos M.
AU - Canovas-Segura B.
PY - 2024
SP - 346
EP - 353
DO - 10.5220/0012321200003657
PB - SciTePress