A hybrid random forest deep learning classifier empowered edge cloud architecture for COVID-19 and pneumonia detectionResearch article Published on 2022-12-012022-10-05 Journal: Sensors (Basel, Switzerland) [Category] 치료기술, [키워드] Accuracy Affect Algorithm Classifier cloud computing complex computation conducted COVID-19 COVID19 CT scan dataset datasets deep deep learning detect diagnose effective Efficiency evaluate False positives forest global pandemic Healthcare industry heat Heat Transfer Search algorithm identify immunization inefficient Interaction less lung CT scan methodology offer outcomes overcome Patient Pneumonia predict PROTECT random Random forest resource Support the patient virus Web services X-ray [DOI] 10.1016/j.eswa.2022.118227 [Article Type] Research article