This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2208) Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (362) Innovations and Technology for Healthy Eating Education (400) Mobile Health (mhealth) (2765) Usability of Apps and User Perceptions of mHealth (899)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35858, first published .
Mobile Apps for Dietary and Food Timing Assessment: Evaluation for Use in Clinical Research

Mobile Apps for Dietary and Food Timing Assessment: Evaluation for Use in Clinical Research

Mobile Apps for Dietary and Food Timing Assessment: Evaluation for Use in Clinical Research

Authors of this article:

Siena Gioia1, 2 Author Orcid Image ;   Irma M Vlasac1 Author Orcid Image ;   Demsina Babazadeh3 Author Orcid Image ;   Noah L Fryou1, 2, 3 Author Orcid Image ;   Elizabeth Do1 Author Orcid Image ;   Jessica Love2 Author Orcid Image ;   Rebecca Robbins2, 4 Author Orcid Image ;   Hassan S Dashti1, 3, 5 Author Orcid Image ;   Jacqueline M Lane1, 2, 4, 5 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Journals

  1. Annuzzi G, Apicella A, Arpaia P, Bozzetto L, Criscuolo S, De Benedetto E, Pesola M, Prevete R. Exploring Nutritional Influence on Blood Glucose Forecasting for Type 1 Diabetes Using Explainable AI. IEEE Journal of Biomedical and Health Informatics 2024;28(5):3123 View
  2. Smokovski I, Steinle N, Behnke A, Bhaskar S, Grech G, Richter K, Niklewski G, Birkenbihl C, Parini P, Andrews R, Bauchner H, Golubnitschaja O. Digital biomarkers: 3PM approach revolutionizing chronic disease management — EPMA 2024 position. EPMA Journal 2024;15(2):149 View