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Depression Detection via Interview Scripts by anand.abhishek9650734826 is a document available to read on EtoBox.

What is Depression Detection via Interview Scripts about?

This study presents a machine learning algorithm developed to detect depression using text scripts from routine psychiatric interviews. Conducted with 77 patients, the model achieved an accuracy rate of 0.85 in classifying depressive and non-depressive patients based on their emotional expressions in the transcripts. The findings suggest a novel approach for early depression diagnosis that could assist psychiatrists in clinical settings.

Author

anand.abhishek9650734826

Language

EN