Anxiety Diagnosis

Virtually screening adults for depression, anxiety, and suicide risk using machine learning and language from an open-ended interview

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 patient’s language during a 5-to-10-min open-ended interview. This recent study […]

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How Machine Learning Can Detect Social Anxiety Disorder? Using Connectivity and Graph Theory Measures Effectively!

Social anxiety disorder (SAD) is a serious concern for medical practitioners worldwide. Identifying its severity level (severe, moderate, mild, or none) can be challenging, which is why this paper proposes a solution. The researchers developed a method that classifies SAD severity levels using the patterns of brain information flow and graphical network structures, analyzed via

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A New Model Predicts Depression and Anxiety Using Artificial Intelligence and Social Media

Utilizing data from Twitter and applying natural language processing artificial intelligence algorithms, researchers created a new, accurate prediction model for depression and anxiety.

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