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Deep Mood by Rana Samir is a document available to read on EtoBox.

What is Deep Mood about?

The paper presents DeepMood, a deep learning architecture designed to model mobile phone typing dynamics for mood detection, particularly in individuals with bipolar disorder. By analyzing keypress metadata and accelerometer data collected from participants using a custom keyboard, the study achieved a prediction accuracy of 90.31% for depression scores. This research highlights the potential of using mobile phone data for unobtrusive mental health monitoring and early intervention.

Author

Rana Samir

Language

EN