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Skip search results from other journals and go to results- 1 JMIR Formative Research
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Wang et al [18] studied the change of anxiety severity and prevalence among undergraduate students undergoing web-based learning during the COVID-19 pandemic using the XGBoost ML model. Priya et al [4] aimed to predict anxiety, depression, and stress among employed and unemployed individuals through the use of 5 different ML algorithms. Richter et al [6] used ML for differentiating the symptoms of anxiety and depression among adult patients.
JMIR Form Res 2022;6(8):e32736
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