Dashboard for Machine Learning Models in Health Care

Wejdan Bagais, Janusz Wojtusiak

2022

Abstract

To trust and use machine learning (ML) models in health settings, decision-makers need to understand the model's performance. Yet, there has been little agreement on what information should be visualized to present models' evaluations. This work presents an approach to construct a dashboard used to visualize supervised ML models for health care applications. The dashboard shows the models' statistical evaluations, feature importance, and sensitivity analysis.

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Paper Citation


in Harvard Style

Bagais W. and Wojtusiak J. (2022). Dashboard for Machine Learning Models in Health Care. In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: HEALTHINF, ISBN 978-989-758-552-4, pages 482-490. DOI: 10.5220/0010835100003123


in Bibtex Style

@conference{healthinf22,
author={Wejdan Bagais and Janusz Wojtusiak},
title={Dashboard for Machine Learning Models in Health Care},
booktitle={Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: HEALTHINF,},
year={2022},
pages={482-490},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010835100003123},
isbn={978-989-758-552-4},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: HEALTHINF,
TI - Dashboard for Machine Learning Models in Health Care
SN - 978-989-758-552-4
AU - Bagais W.
AU - Wojtusiak J.
PY - 2022
SP - 482
EP - 490
DO - 10.5220/0010835100003123