Depression Screening with Text Messages

Author: ML Tlachac

Advisor: Elke Rundensteiner

Category: Graduate

Abstract/Description:
Detecting depression, a prevalent and costly issue, is vital for society.  As such, I have trained machine learning models to detect depression from crowd-sourced text messages with an F1 score of 0.81. Given the private nature of texts, I’m working on generating anonymous text messages to make this a sustainable solution. 

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https://youtu.be/KHRTgOYeack

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