Deep Learning for COVID-19 Prediction based on Blood Test

Ziyue Yu, Lihua He, Wuman Luo, Wuman Luo, Rita Tse, Rita Tse, Giovanni Pau, Giovanni Pau, Giovanni Pau

Abstract

The COVID-19 pandemic is highly infectious and has caused many deaths. The COVID-19 infection diagnosis based on blood test is facing the problems of long waiting time for results and shortage of medical staff. Although several machine learning methods have been proposed to address this issue, the research of COVID-19 prediction based on deep learning is still in its preliminary stage. In this paper, we propose four hybrid deep learning models, namely CNN+GRU, CNN+Bi-RNN, CNN+Bi-LSTM and CNN+Bi-GRU, and apply them to the blood test data from Israelta Albert Einstein Hospital. We implement the four proposed models as well as other existing models CNN, CNN+LSTM, and compare them in terms of accuracy, precision, recall, F1-score and AUC. The experiment results show that CNN+Bi-GRU achieves the best performance in terms of all the five metrics (accuracy of 0.9415, F1-score of 0.9417, precision of 0.9417, recall of 0.9417, and AUC of 0.91).

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Paper Citation


in Harvard Style

Yu Z., He L., Luo W., Tse R. and Pau G. (2021). Deep Learning for COVID-19 Prediction based on Blood Test. In Proceedings of the 6th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS, ISBN 978-989-758-504-3, pages 103-111. DOI: 10.5220/0010484601030111


in Bibtex Style

@conference{iotbds21,
author={Ziyue Yu and Lihua He and Wuman Luo and Rita Tse and Giovanni Pau},
title={Deep Learning for COVID-19 Prediction based on Blood Test},
booktitle={Proceedings of the 6th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,},
year={2021},
pages={103-111},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010484601030111},
isbn={978-989-758-504-3},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 6th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,
TI - Deep Learning for COVID-19 Prediction based on Blood Test
SN - 978-989-758-504-3
AU - Yu Z.
AU - He L.
AU - Luo W.
AU - Tse R.
AU - Pau G.
PY - 2021
SP - 103
EP - 111
DO - 10.5220/0010484601030111