Benchmarking the BRATECA Clinical Data Collection for Prediction Tasks

Bernardo Consoli, Renata Vieira, Rafael Bordini

2023

Abstract

Expanding the usability of location-specific clinical datasets is an important step toward expanding research into national medical issues, rather than only attempting to generalize hypotheses from foreign data. This means that benchmarking such datasets, thus proving their usefulness for certain kinds of research, is a worthwhile task. This paper presents the first results of widely used prediction tasks from data contained within the BRATECA collection, a Brazilian tertiary care data collection, and also results for neural network architectures using these newly created test sets. The architectures use both structured and unstructured data to achieve their results. The obtained results are expected to serve as benchmarks for future tests with more advanced models based on the data available in BRATECA.

Paper Citation

in Harvard Style

Consoli B., Vieira R. and Bordini R. (2023). Benchmarking the BRATECA Clinical Data Collection for Prediction Tasks. In Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 5: HEALTHINF; ISBN 978-989-758-631-6, SciTePress, pages 338-345. DOI: 10.5220/0011671400003414

in Bibtex Style

@conference{healthinf23,
author={Bernardo Consoli and Renata Vieira and Rafael Bordini},
title={Benchmarking the BRATECA Clinical Data Collection for Prediction Tasks},
booktitle={Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 5: HEALTHINF},
year={2023},
pages={338-345},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011671400003414},
isbn={978-989-758-631-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 5: HEALTHINF
TI - Benchmarking the BRATECA Clinical Data Collection for Prediction Tasks
SN - 978-989-758-631-6
AU - Consoli B.
AU - Vieira R.
AU - Bordini R.
PY - 2023
SP - 338
EP - 345
DO - 10.5220/0011671400003414
PB - SciTePress