Abdu Gumaei^1,2,*, Mabrook Al-Rakhami¹, Mohamad Mahmoud Al Rahhal³, Fahad Raddah H. Albogamy³, Eslam Al Maghayreh³, Hussain AlSalman¹

CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 315-329, 2021, DOI:10.32604/cmc.2020.012045

Abstract The fast spread of coronavirus disease (COVID-19) caused by SARSCoV-2 has become a pandemic and a serious threat to the world. As of May 30, 2020, this disease had infected more than 6 million people globally, with hundreds of thousands of deaths. Therefore, there is an urgent need to predict confirmed cases so as to analyze the impact of COVID-19 and practice readiness in healthcare systems. This study uses gradient boosting regression (GBR) to build a trained model to predict the daily total confirmed cases of COVID-19. The GBR method can minimize the loss function of the training process and… More >

Chunxiao Zhao¹, Congrong Shi¹, Lin Zhang¹, Zhixin Zhai², Zhihong Ren^1,*, Xiubin Lin¹, Guangrong Jiang¹

International Journal of Mental Health Promotion, Vol.22, No.3, pp. 123-132, 2020, DOI:10.32604/IJMHP.2020.011077

Abstract The Coronavirus Disease 2019 (COVID-19) is raging worldwide, seriously threatening the public’s mental health. Online platform for psychological assistance integrated various sources to promote the public’s mental health. This article, using the Mental Health Service Platform at Central China Normal University, Ministry of Education (MOE-CCNU-MHSP) as an example, aims to describe the experience of building an online platform for psychological assistance in a public health emergency and discuss the further development of the online mental health service platform so as to provide suggestions to enhance online psychological service delivery. More >