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Machine Learning Methods to Identify Predictors of Psychological Distress
2022
Processes
As people pay ever-increasing attention to the problems caused by psychological stress, research on its influencing factors becomes crucial. This study analyzed the Health Information National Trends Survey (HINTS, Cycle 3 and Cycle 4) data (N = 5484) and assessed the outcomes using descriptive statistics, Chi-squared tests, and t-tests. Four machine learning algorithms were applied for modeling: logistic regression (linear), random forests (RF) (ensemble), the artificial neural network (ANN)
doi:10.3390/pr10051030
fatcat:vwmjog4raveihiv74jf2lc2dsa