Virtually screening adults for depression, anxiety, and suicide risk using machine learning and language from an open-ended interview
Click here for the article published by Frontiers in Psychiatry. Current screening techniques for depression, anxiety, and suicide rely on retrospective patient reports to standardized scales. But combining a natural language processing (NLP) and machine learning (ML) approach with qualitative screening shows promise. This new approach detects depression, anxiety, and suicide risk by analyzing a …
