The Use of Machine Learning to Predict Hospitalization of Covid-19: A Case Study in the State of Minas Gerais - Brazil

Gerda Rodrigues de Oliveira, Cristiane Nobre

2023

Abstract

This work aims to verify the applicability of using Machine Learning techniques to predict hospitalization in confirmed cases of Covid-19. The study also intends to discover which attributes have the most significant impacts on hospitalization. The machine learning (ML) algorithms used in this experiment were Decision Tree, Random Forest, Neural Networks, and Naive Bayes. The data used for this experiment were made available by the government of Minas Gerais - Brazil, through open data. The model based on Random Forest obtained the best results, presenting the following metrics: Precision, Recall and F1-Score of 0.85, 0.84 and 0.84, respectively. In this experiment, essential characteristics for classifying the patient’s hospitalization are Comorbidity, Age Group, and HDI. The results point to a good predictive ability, demonstrating the potential use of ML techniques to predict the hospitalization of people by COVID-19.

Paper Citation

in Harvard Style

Rodrigues de Oliveira G. and Nobre C. (2023). The Use of Machine Learning to Predict Hospitalization of Covid-19: A Case Study in the State of Minas Gerais - Brazil. 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 392-399. DOI: 10.5220/0011696000003414

in Bibtex Style

@conference{healthinf23,
author={Gerda Rodrigues de Oliveira and Cristiane Nobre},
title={The Use of Machine Learning to Predict Hospitalization of Covid-19: A Case Study in the State of Minas Gerais - Brazil},
booktitle={Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 5: HEALTHINF},
year={2023},
pages={392-399},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011696000003414},
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 - The Use of Machine Learning to Predict Hospitalization of Covid-19: A Case Study in the State of Minas Gerais - Brazil
SN - 978-989-758-631-6
AU - Rodrigues de Oliveira G.
AU - Nobre C.
PY - 2023
SP - 392
EP - 399
DO - 10.5220/0011696000003414
PB - SciTePress