233 related articles for article (PubMed ID: 33439139)
1. The Human Factor in Automated Image-Based Nutrition Apps: Analysis of Common Mistakes Using the goFOOD Lite App.
Vasiloglou MF; van der Horst K; Stathopoulou T; Jaeggi MP; Tedde GS; Lu Y; Mougiakakou S
JMIR Mhealth Uhealth; 2021 Jan; 9(1):e24467. PubMed ID: 33439139
[TBL] [Abstract][Full Text] [Related]
2. goFOOD
Lu Y; Stathopoulou T; Vasiloglou MF; Pinault LF; Kiley C; Spanakis EK; Mougiakakou S
Sensors (Basel); 2020 Jul; 20(15):. PubMed ID: 32752007
[TBL] [Abstract][Full Text] [Related]
3. Validity and Usability of a Smartphone Image-Based Dietary Assessment App Compared to 3-Day Food Diaries in Assessing Dietary Intake Among Canadian Adults: Randomized Controlled Trial.
Ji Y; Plourde H; Bouzo V; Kilgour RD; Cohen TR
JMIR Mhealth Uhealth; 2020 Sep; 8(9):e16953. PubMed ID: 32902389
[TBL] [Abstract][Full Text] [Related]
4. Popular Nutrition-Related Mobile Apps: A Feature Assessment.
Franco RZ; Fallaize R; Lovegrove JA; Hwang F
JMIR Mhealth Uhealth; 2016 Aug; 4(3):e85. PubMed ID: 27480144
[TBL] [Abstract][Full Text] [Related]
5. A mobile phone food record app to digitally capture dietary intake for adolescents in a free-living environment: usability study.
Casperson SL; Sieling J; Moon J; Johnson L; Roemmich JN; Whigham L
JMIR Mhealth Uhealth; 2015 Mar; 3(1):e30. PubMed ID: 25775506
[TBL] [Abstract][Full Text] [Related]
6. Perspectives and Preferences of Adult Smartphone Users Regarding Nutrition and Diet Apps: Web-Based Survey Study.
Vasiloglou MF; Christodoulidis S; Reber E; Stathopoulou T; Lu Y; Stanga Z; Mougiakakou S
JMIR Mhealth Uhealth; 2021 Jul; 9(7):e27885. PubMed ID: 34328425
[TBL] [Abstract][Full Text] [Related]
7. The use of a food logging app in the naturalistic setting fails to provide accurate measurements of nutrients and poses usability challenges.
Chen J; Berkman W; Bardouh M; Ng CYK; Allman-Farinelli M
Nutrition; 2019 Jan; 57():208-216. PubMed ID: 30184514
[TBL] [Abstract][Full Text] [Related]
8. The Reviews Are in: A Qualitative Content Analysis of Consumer Perspectives on Apps for Bipolar Disorder.
Nicholas J; Fogarty AS; Boydell K; Christensen H
J Med Internet Res; 2017 Apr; 19(4):e105. PubMed ID: 28389420
[TBL] [Abstract][Full Text] [Related]
9. Essential elements of weight loss apps for a multi-ethnic population with high BMI: a qualitative study with practical recommendations.
Chew HSJ; Lim SL; Kim G; Kayambu G; So BYJ; Shabbir A; Gao Y
Transl Behav Med; 2023 Apr; 13(3):140-148. PubMed ID: 36689306
[TBL] [Abstract][Full Text] [Related]
10. Mobile Apps for Dietary and Food Timing Assessment: Evaluation for Use in Clinical Research.
Gioia S; Vlasac IM; Babazadeh D; Fryou NL; Do E; Love J; Robbins R; Dashti HS; Lane JM
JMIR Form Res; 2023 Jun; 7():e35858. PubMed ID: 37327038
[TBL] [Abstract][Full Text] [Related]
11. Smartphone apps for snoring.
Camacho M; Robertson M; Abdullatif J; Certal V; Kram YA; Ruoff CM; Brietzke SE; Capasso R
J Laryngol Otol; 2015 Oct; 129(10):974-9. PubMed ID: 26333720
[TBL] [Abstract][Full Text] [Related]
12. The Nutritional Content of Meal Images in Free-Living Conditions-Automatic Assessment with goFOOD
Papathanail I; Abdur Rahman L; Brigato L; Bez NS; Vasiloglou MF; van der Horst K; Mougiakakou S
Nutrients; 2023 Sep; 15(17):. PubMed ID: 37686866
[TBL] [Abstract][Full Text] [Related]
13. The Development of an Arabic Weight-Loss App Akser Waznk: Qualitative Results.
Alturki R; Gay V
JMIR Form Res; 2019 Mar; 3(1):e11785. PubMed ID: 30869639
[TBL] [Abstract][Full Text] [Related]
14. Apps for IMproving FITness and Increasing Physical Activity Among Young People: The AIMFIT Pragmatic Randomized Controlled Trial.
Direito A; Jiang Y; Whittaker R; Maddison R
J Med Internet Res; 2015 Aug; 17(8):e210. PubMed ID: 26316499
[TBL] [Abstract][Full Text] [Related]
15. Evaluating Mobile Health Apps for Customized Dietary Recording for Young Adults and Seniors: Randomized Controlled Trial.
Liu YC; Chen CH; Tsou YC; Lin YS; Chen HY; Yeh JY; Chiu SY
JMIR Mhealth Uhealth; 2019 Feb; 7(2):e10931. PubMed ID: 30767906
[TBL] [Abstract][Full Text] [Related]
16. Smartphone applications for nutrition Support: A systematic review of the target outcomes and main functionalities.
Pala D; Petrini G; Bosoni P; Larizza C; Quaglini S; Lanzola G
Int J Med Inform; 2024 Apr; 184():105351. PubMed ID: 38295584
[TBL] [Abstract][Full Text] [Related]
17. EVIDENT Smartphone App, a New Method for the Dietary Record: Comparison With a Food Frequency Questionnaire.
Recio-Rodriguez JI; Rodriguez-Martin C; Gonzalez-Sanchez J; Rodriguez-Sanchez E; Martin-Borras C; Martínez-Vizcaino V; Arietaleanizbeaskoa MS; Magdalena-Gonzalez O; Fernandez-Alonso C; Maderuelo-Fernandez JA; Gomez-Marcos MA; Garcia-Ortiz L;
JMIR Mhealth Uhealth; 2019 Feb; 7(2):e11463. PubMed ID: 30735141
[TBL] [Abstract][Full Text] [Related]
18. Exploring an Artificial Intelligence-Based, Gamified Phone App Prototype to Track and Improve Food Choices of Adolescent Girls in Vietnam: Acceptability, Usability, and Likeability Study.
C Braga B; Nguyen PH; Aberman NL; Doyle F; Folson G; Hoang N; Huynh P; Koch B; McCloskey P; Tran L; Hughes D; Gelli A
JMIR Form Res; 2022 Jul; 6(7):e35197. PubMed ID: 35862147
[TBL] [Abstract][Full Text] [Related]
19. Carbohydrate Estimation by a Mobile Phone-Based System Versus Self-Estimations of Individuals With Type 1 Diabetes Mellitus: A Comparative Study.
Rhyner D; Loher H; Dehais J; Anthimopoulos M; Shevchik S; Botwey RH; Duke D; Stettler C; Diem P; Mougiakakou S
J Med Internet Res; 2016 May; 18(5):e101. PubMed ID: 27170498
[TBL] [Abstract][Full Text] [Related]
20. Improving Heart Disease Risk Through Quality-Focused Diet Logging: Pre-Post Study of a Diet Quality Tracking App.
Kwon BC; VanDam C; Chiuve SE; Choi HW; Entler P; Tan PN; Huh-Yoo J
JMIR Mhealth Uhealth; 2020 Dec; 8(12):e21733. PubMed ID: 33355537
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
