Nov 3, 2021 · The XGBoost + LR-based screening system can accurately predict COVID-19 patients and can be applied in hotels, nursing homes, wards, ...
The XGBoost + LR-based screening system can accurately predict COVID-19 patients and can be applied in hotels, nursing homes, wards, and other crowded locations ...
Nov 3, 2021 · The XGBoost + LR-based screening system can accurately predict COVID-19 patients and can be applied in hotels, nursing homes, wards, and other ...
Mar 23, 2024 · Objective We aim to apply a machine learning algorithm and non-contact monitoring system to automatically screen potential COVID-19 patients.
Nov 3, 2021 · Non-contact screening system based for COVID-19 on XGBoost and logistic regression. ... non-contact monitoring system to automatically screen ...
Nov 3, 2021 · Objective We aim to apply a machine learning algorithm and non-contact monitoring system to automatically screen potential COVID-19 patients.
Sep 18, 2022 · As multiple prediction models were developed for each patient, this study proposes a different application to address multi-label classification ...
Missing: contact | Show results with:contact
Finally, the logistic regression approach does not handle missing values, so patients with incomplete information regarding five considered features were ...
(PDF) Enhancement of COVID-19 symptom-based screening with ...
www.researchgate.net › ... › Screening
Jan 24, 2024 · PDF | Efforts of the scientific community led to the development of multiple screening approaches for COVID-19 that rely on machine learning ...
Nov 30, 2021 · An interpretable machine learning model based on a quick pre-screening system enables accurate deterioration risk prediction for COVID-19.