Anxiety Diagnosis

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 …

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

Click here for the article published by Frontiers in Psychiatry. 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 …

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

Click here for the article published by Neurocience News. Utilizing data from Twitter and applying natural language processing artificial intelligence algorithms, researchers created a new, accurate prediction model for depression and anxiety. Continue reading … Disclaimer: The content of this article has not been checked or verified. Proceed at your own risk. Back to Home …

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