Artificial Intelligence and Depression: a systematic review
DOI:
https://doi.org/10.25746/ruiips.v12.i1.33936Keywords:
Artificial intelligence, Depression, ComputingAbstract
The research aims to verify the status of research on AI in depression. Search carried out in the ACM, IEEE, PubMed, PsycINFO, SciELO.ORG., WoS, Scopus and BVS databases. Descriptors were ("Artificial intelligence") OR ("Machine Learning") AND ("Major Depressive Disorder") OR (Depression) in Portuguese, English, Spanish. The following were excluded: a) theoretical articles; b) without technological application; c) unrelated to depression. Most of the studies were about technologies for detecting depression (n=17). The most used algorithm was Support Vector Machine (n=13). The average performance of the algorithms is 88.48 (Σ=10.64). The application of AI in depression has been promising, however, more studies are needed.
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