Machine Learning-Based Mortality Prediction of COVID-19 Patients
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-7455-7_12
Reference20 articles.
1. Alballa N, Al-Turaiki I (2021) Machine learning approaches in COVID-19 diagnosis, mortality, and severity risk prediction: a review. Inform Med Unlocked 24:100564. https://doi.org/10.1016/j.imu.2021.100564
2. Aktar S, Ahamad MM, Rashed-Al-Mahfuz M et al (2021) Machine learning approach to predicting COVID-19 disease severity based on clinical blood test data: statistical analysis and model development. JMIR Med Inform 9:e25884. https://doi.org/10.2196/25884
3. Yadaw AS, Li Y-C, Bose S et al (2020) Clinical features of COVID-19 mortality: development and validation of a clinical prediction model. Lancet Digit Health 2:e516–e525. https://doi.org/10.1016/S2589-7500(20)30217-X
4. Hu C, Liu Z, Jiang Y et al (2021) Early prediction of mortality risk among patients with severe COVID-19, using machine learning. Int J Epidemiol 49:1918–1929. https://doi.org/10.1093/ije/dyaa171
5. Hu H, Du H, Li J et al (2020) Early prediction and identification for severe patients during the pandemic of COVID-19: a severe COVID-19 risk model constructed by multivariate logistic regression analysis. J Glob Health 10:020510. https://doi.org/10.7189/jogh.10.020510
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