The invention discloses a machine learning-based mental assessment screening system and a training method thereof. The training method of the machine learning-based mental assessment screening systemcomprises two steps: training of a first classification model and training of a second classification model. Training of the first classification model compriess steps: selecting first effective sample data from first sample data and selecting a plurality of feature items as a first feature item list, constructing a first feature data set, and training and testing the first classification model byusing the first feature data set, taking M feature items of the first classification model with the optimal performance as a second feature item list; training the second classification model comprises steps: selecting second effective sample data from second sample data, constructing a second feature data set, and training and testing the second classification model by using the second feature data set, and selecting the second classification model with the optimal performance and the corresponding L feature items. According to the invention, the recognition efficiency and accuracy of depression can be improved.
Machine learning-based mental assessment screening system and training method thereof