Conversational Analysis Agents for Depression Detection: A Systematic Review
نویسندگان
چکیده
Depression is known as a non-cognitive disturbance that can be seen among different people all over the world. This pertains to disorders have affected cognitions and behaviors arise from overt in cerebral function. It more common for young adults elderly based on lifestyles, work pressure, personal problems, diseases, who had strokes or hemorrhages, certain brain paralysis. paper focused reviewing research papers previously done detecting depression. Utilizing predefined search systems, we gone through couple of studies zeroing gloom involved conversational information location conclusion. The objective this review large whether agents detect diagnose depression by using smart texting analysis. study was searching IEEE Xplore, Sci-hub, Doi, Scopus, Pubmed strategy. include possibilities steps diagnosis data analysis after assessing them independent reviewers relevancy eligibility. After retrieving than 117 references initially it narrowed down 95 were found relevant most applied analytical techniques technology-based solutions. Detecting diagnosing broad emerging field has promising future but not every robust enough get valid results end. aimed keep precise informative possible.
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ژورنال
عنوان ژورنال: Journal of Integrated and Advanced Engineering
سال: 2023
ISSN: ['2774-6038', '2774-602X']
DOI: https://doi.org/10.51662/jiae.v3i1.85