Using Machine Learning to Develop Just-in-Time Adaptive Interventions for Smoking Cessation

NCT04839198 NA COMPLETED

The purpose of this study is to evaluate the feasibility and preliminary effectiveness of delivering a personalized, just-in-time adaptive intervention driven by machine learning prediction of smoking lapse risk in real time.

Details

Lead sponsor	The University of Texas Health Science Center, Houston
Phase	NA
Status	COMPLETED
Enrolment	60
Start date	Tue Feb 06 2024 00:00:00 GMT+0000 (Coordinated Universal Time)
Completion	Fri Nov 22 2024 00:00:00 GMT+0000 (Coordinated Universal Time)

Conditions

• Smoking Cessation

Interventions

• Android Wear smartwatch
• Adaptive Treatment
• Nicotine Patch
• interviewing-based counseling

Countries

United States