… Various studies have been put forward to aid medical specialists in identifying depression
and multiple other mental disorders. The domain of mental disorders comprises a diverse …

… university students have been identified by machine learning algorithms with a dataset of …
32 machine learning algorithms in order to select the best approach for depression detection…

… Our deep-learning algorithm well decoded depression from numerical data, without visually
representing any images. This ability of neural networks has already been demonstrated in …

… We aimed to identify articles that applied a machine learning algorithm to either assess
patient- or group-level data as predictors of a therapeutic outcome or cluster subjects based on a …

… depression diagnosis with machine learning algorithms have been done in the past. Some
of these studies that are related to the identification of depression … the learning algorithms …

… However, many of the machine learning studies that were included in the above … depression
using a machine learning algorithm based on national survey data. Moreover, we identified …

… the mind of a depressed person. Machine learning algorithms have proved to be quite …
predict the number of people suffering from depression based on their early symptoms and social …

… learning algorithms were applied to identify the symptoms of anxiety, depression and stress.
… In this paper, machine learning algorithms were applied to determine five different severity …

… the users are facing depression or not. Machine learning algorithm enables to classify the
data into correct groups and identify the depressive and non-depressive data. The proposed …

… In this work, to identify signals that … algorithm can be used for patients with and without a
history of mental illness. Using the combined features, each of the machine learning algorithms …