Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...

As public health officials around the world contend with the latest surge of the COVID-19 pandemic, researchers at Drexel University have created a computer model that could help them be better ...

University of Queensland researchers have used machine learning to help predict the risk of secondary bacterial infections in hospitalised COVID-19 patients. The machine learning technique can help ...

In a study published in JMIR AI, researchers assessed anxiety and depression faced by healthcare workers (HCWs) in the United States during the coronavirus disease 2019 (COVID-19) pandemic. Study: ...

Approximately one in seven adults in the United States has kidney disease, where the organs responsible for filtering waste ...

Data scientists and epidemiologists are working together to develop a tool that will forecast the number of patients who will contract the novel coronavirus using big data, machine learning and other ...

In this recurring monthly feature, we filter recent research papers appearing on the arXiv.org preprint server for compelling subjects relating to AI, machine learning and deep learning – from ...