Digital Phenotypes of Mobile Keyboard Backspace Rates and Their Associations With Symptoms of Mood Disorder: Algorithm Development and Validation

• Main Authors: Qimin Liu (Author), Emma Ning (Author), Mindy K Ross (Author), Andrea Cladek (Author), Sarah Kabir (Author), Amruta Barve (Author), Ellyn Kennelly (Author), Faraz Hussain (Author), Jennifer Duffecy (Author), Scott A Langenecker (Author), Theresa M Nguyen (Author), Theja Tulabandhula (Author), John Zulueta (Author), Alexander P Demos (Author), Alex Leow (Author), Olusola Ajilore (Author)
• Format: Book
• Published: JMIR Publications, 2024-10-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

BackgroundPassive sensing through smartphone keyboard data can be used to identify and monitor symptoms of mood disorders with low participant burden. Behavioral phenotyping based on mobile keystroke data can aid in clinical decision-making and provide insights into the individual symptoms of mood d...