A machine learning model trained on voice audio alone is reported to classify mental-health helpline call priority as high or low with 92% balanced accuracy across 459 calls.
A methodology for emergency calls severity prediction: from pre-processing to bert-based classifiers
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Feasibility of Mental Health Triage Call Priority Prediction Using Machine Learning
A machine learning model trained on voice audio alone is reported to classify mental-health helpline call priority as high or low with 92% balanced accuracy across 459 calls.