首页|Data on COVID-19 Reported by Zejie Zhang and Colleagues (Construction and valida tion of machine learning algorithm for predicting depression among home-quaranti ned individuals during the largescale COVID-19 outbreak: based on Adaboost model)
Data on COVID-19 Reported by Zejie Zhang and Colleagues (Construction and valida tion of machine learning algorithm for predicting depression among home-quaranti ned individuals during the largescale COVID-19 outbreak: based on Adaboost model)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Coronavirus - COVID-19 is the sub ject of a report. According to news reportingout of Wenzhou, People’s Republic of China, by NewsRx editors, research stated, “COVID-19 epidemicsoften lead to elevated levels of depression. To accurately identify and predict depression lev els in homequarantinedindividuals during a COVID-19 epidemic, this study const ructed a depression prediction modelbased on multiple machine learning algorith ms and validated its effectiveness.”
WenzhouPeople’s Republic of ChinaAsi aAlgorithmsCOVID-19COVID-19 ModelCoronavirusCyborgsDisease ModelEm erging TechnologiesEpidemicEpidemiologyMachine LearningRNA VirusesRisk and PreventionSARS-CoV-2Severe Acute Respira
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