Review Article
Data Analytics in Mental Healthcare
Table 2
Side effects of mental illness and their solution through data science.
| Authors | Side effects of mental disorder | Tools/techniques | Primary findings |
| Kessler et al. [17] | Suicide and mental illness | Machine learning algorithm | Predicting suicide risk at hospitalization |
| Cleland et al. [18] | Antidepressant usage | Clustering analysis based on behavior and disease | Identifying the correlation between antidepressant usage and deprivation |
| Perdue et al. [20] | Drug abuse | (i) Google search history | Providing real time data that may allow us to predict drug abuse tendency and respond more quickly | (ii) Monitoring the future (MTF) |
| Hasan et al. [19] | Opioid use disorder | (iii) Feature engineering | Suppressing the increasing rate of opioid addiction using machine learning algorithms | (iv) Logistic regression | (v) Random forest | (vi) Gradient boosting |
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