## 8 Discussions and Conclusions
\begin{table}
\begin{tabular}{c c c c c c c} \hline \hline
**Reference** & \begin{tabular}{c} **Area of Mental Health** \\ **Focus** \\ \end{tabular} & \begin{tabular}{c} **Main Topic (Subject)** \\ \end{tabular} & \begin{tabular}{c} **Sample** \\ \end{tabular} & \
\begin{tabular}{c} **Data Collection Method** \\ \end{tabular} &
\begin{tabular}{c} **Data Analysis Method** \\ \end{tabular} \\ \hline
[28] & Perceived Stress & \begin{tabular}{c} Automatic detection of perceived stress in campus \\ students \\ \end{tabular} & \begin{tabular}{c} N/A \\ \end{tabular} & \
\begin{tabular}{c} Sensor and Questionnaires \\ \end{tabular} &
\begin{tabular}{c} SVM, jks, Bagging, Random \\ Forest \\ \end{tabular} \\ \hline
[45] & \
\begin{tabular}{c} Asperger Syndrome \\ \end{tabular} &
\begin{tabular}{c} Affective-cognitive states of students with and \\ without Asperger Syndrome \\ \end{tabular} & 1407 videos & Sensor (Webcam) & CNN, RNN(LSTM) \\ \hline
[29] & \begin{tabular}{c} Depression \\ \end{tabular} & \begin{tabular}{c} Depression \\ \end{tabular} & \
\begin{tabular}{c} Depression Prevalence and Gait Abnormality \\ \end{tabular} & 3,669 students & Questionnaire \& Sensor &
\begin{tabular}{c} SVM, KNN, RE, LR, LDA \\ \end{tabular} \\ \hline
[64] & \begin{tabular}{c} Well-being \\ \end{tabular} & \begin{tabular}{c} Well-being prediction \\ \end{tabular} & 251 students & \
\begin{tabular}{c} Questionnaire, Phone, and \\ Sensor \\ \end{tabular} &
\begin{tabular}{c} Linear Regularized Models, \\ Neural Network, LSTM, \\ CNN \\ \end{tabular} \\ \hline
[56] & \begin{tabular}{c} Academic Stress \\ \end{tabular} & \begin{tabular}{c} Academic stress management system \\ \end{tabular} & \begin{tabular}{c} N/A \\ \end{tabular} & \
\begin{tabular}{c} Sensor \\ \end{tabular} &
\begin{tabular}{c} K-means Clustering \\ \end{tabular} \\ \hline
[46] & \begin{tabular}{c} Depression \\ \end{tabular} & \begin{tabular}{c} Combuting depression with intelligent ChatBot \\ \end{tabular} & 9194 & \
\begin{tabular}{c} Existing Data \\ \end{tabular} &
\begin{tabular}{c} CNN, RNN, HAN \\ \end{tabular} \\ \hline
[47] & \begin{tabular}{c} Insomnia \\ \end{tabular} & \begin{tabular}{c} Predicting insomnia levels \\ \end{tabular} & 158 & \
\begin{tabular}{c} Questionnaire \\ \end{tabular} &
\begin{tabular}{c} ANN \\ \end{tabular} \\ \hline
[48] & \begin{tabular}{c} Stress \\ \end{tabular} & \begin{tabular}{c} Brain/’s stress observation system \\ \end{tabular} & 4 & \
\begin{tabular}{c} Sensor and Questionnaire \\ \end{tabular} &
\begin{tabular}{c} RNN \\ \end{tabular} \\ \hline
[39] & \begin{tabular}{c} Depression and Internet \\ Addiction \\ \end{tabular} & \begin{tabular}{c} Prediction of internet addiction, depression, and \\ low self-esteem \\ \end{tabular} & 461 & \
\begin{tabular}{c} Questionnaire \\ \end{tabular} &
\begin{tabular}{c} Logistic Regression, RF \\ Naive Bayes, C4 Selection \\ Tree, K-Nearest Neighbor \\ \end{tabular} \\ \hline
[40] & \begin{tabular}{c} Stress \\ \end{tabular} & \begin{tabular}{c} Stress level prediction \\ \end{tabular} & 100 & \
\begin{tabular}{c} Questionnaire \\ \end{tabular} &
\begin{tabular}{c} Naive Bayes \\ \end{tabular} \\ \hline
[52] & \begin{tabular}{c} Public Speaking Anxiety \\ \end{tabular} & \begin{tabular}{c} Physiological-based models of public speaking \\ anxiety \\ \end{tabular} & 43 & \
\begin{tabular}{c} Sensor and Questionnaire \\ \end{tabular} &
\begin{tabular}{c} Linear Regression, K-Means \\ Clustering \\ \end{tabular} \\ \hline
[62] & \begin{tabular}{c} Stress \\ \end{tabular} & \begin{tabular}{c} Mindfulness among undergraduates with stress \\ \end{tabular} & 125 & \
\begin{tabular}{c} Sensor and Questionnaire \\ \end{tabular} &
\begin{tabular}{c} Q-Learning \\ \end{tabular} \\ \hline
[57] & \begin{tabular}{c} Stress \\ \end{tabular} & \begin{tabular}{c} Activity recommendations for depressed and \\ non-depressed students \\ \end{tabular} & 44 & \
\begin{tabular}{c} Phone, Interview, and \\ Questionnaire \\ \end{tabular} &
\begin{tabular}{c} Q-Learning, K-Means \\ Clustering \\ \end{tabular} \\ \hline
[63] & Anxiety & \begin{tabular}{c} Personalized e-learning for students \\ \end{tabular} & 53 & \
\begin{tabular}{c} Questionnaire (Test) \\ \end{tabular} &
\begin{tabular}{c} Case Based Reasoning, \\ Reinforcement Learning \\ \end{tabular} \\ \hline
[65] & \begin{tabular}{c} Anxiety \\ \end{tabular} & \begin{tabular}{c} Prediction of anxiety of students \\ \end{tabular} & 36 & \
\begin{tabular}{c} Questionnaire (Test) \\ \end{tabular} &
\begin{tabular}{c} ANFIS (combination of ANN \\ and fuzzy logic) \\ \end{tabular} \\ \hline
[30] & \begin{tabular}{c} Depression and Anxiety \\ \end{tabular} & \begin{tabular}{c} Predict mental health disorders of students \\ \end{tabular} & \
\begin{tabular}{c} N/A \\ \end{tabular} & Reporting &
\begin{tabular}{c} LDA, Regularized LDA, \\ Shrinkage LDA, DIAG, SVM, \\ LR, Adaboest \\ \end{tabular} \\ \hline \hline \end{tabular}
\end{table}