Supervised machine learning to predict smoking lapses from Ecological Momentary Assessments and sensor data: Implications for just-in-time adaptive intervention development

Summary

This is a publication. If there is no link to the publication on this page, you can try the pre-formated search via the search engines listed on this page.

Authors: Olga Perski; Dimitra Kale; Corinna Leppin; Tosan Okpako; David Simons; Stephanie Paige Goldstein; Eric B. Hekler; Jamie Brown

Journal title: PLOS Digital Health, Vol 3, Iss 8 (2024)

Journal publisher: Public Library of Science

Published year: 2024

DOI identifier: 10.31219/osf.io/jgrpy

ISSN: 2767-3170