Developing personalized algorithms for sensing mental health symptoms in daily life

Developing personalized algorithms for sensing mental health symptoms in daily life

Abstract The integration of artificial intelligence (AI) and pervasive computing offers new opportunities to sense mental health symptoms and deliver just-in-time adaptive interventions via mobile devices. This pilot study tested personalized versus generalized machine learning models for detecting...

Full description

Saved in:
Bibliographic Details
Main Authors: Adela C. Timmons, Abdullah Aman Tutul, Kleanthis Avramidis, Jacqueline B. Duong, Kayla E. Carta, Sierra N. Walters, Grace A. Jumonville, Alyssa S. Carrasco, Gabrielle F. Freitag, Daniela N. Romero, Matthew W. Ahle, Jonathan S. Comer, Shrikanth S. Narayanan, Ishita P. Khurd, Theodora Chaspari
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:npj Mental Health Research
Online Access:https://doi.org/10.1038/s44184-025-00147-5
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items