These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

170 related articles for article (PubMed ID: 29300701)

  • 1. Speech2Health: A Mobile Framework for Monitoring Dietary Composition From Spoken Data.
    Hezarjaribi N; Mazrouee S; Ghasemzadeh H
    IEEE J Biomed Health Inform; 2018 Jan; 22(1):252-264. PubMed ID: 29300701
    [TBL] [Abstract][Full Text] [Related]  

  • 2. S2NI: a mobile platform for nutrition monitoring from spoken data.
    Hezarjaribi N; Reynolds CA; Miller DT; Chaytor N; Ghasemzadeh H
    Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():1991-1994. PubMed ID: 28268720
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Counting Bites With Bits: Expert Workshop Addressing Calorie and Macronutrient Intake Monitoring.
    Alshurafa N; Lin AW; Zhu F; Ghaffari R; Hester J; Delp E; Rogers J; Spring B
    J Med Internet Res; 2019 Dec; 21(12):e14904. PubMed ID: 31799938
    [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. Automatic diet monitoring: a review of computer vision and wearable sensor-based methods.
    Hassannejad H; Matrella G; Ciampolini P; De Munari I; Mordonini M; Cagnoni S
    Int J Food Sci Nutr; 2017 Sep; 68(6):656-670. PubMed ID: 28139173
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Wearable Technology to Quantify the Nutritional Intake of Adults: Validation Study.
    Dimitratos SM; German JB; Schaefer SE
    JMIR Mhealth Uhealth; 2020 Jul; 8(7):e16405. PubMed ID: 32706729
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Evaluation of the Healthy Eating Index-2005.
    Guenther PM; Reedy J; Krebs-Smith SM; Reeve BB
    J Am Diet Assoc; 2008 Nov; 108(11):1854-64. PubMed ID: 18954575
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Use of Natural Spoken Language With Automated Mapping of Self-reported Food Intake to Food Composition Data for Low-Burden Real-time Dietary Assessment: Method Comparison Study.
    Taylor S; Korpusik M; Das S; Gilhooly C; Simpson R; Glass J; Roberts S
    J Med Internet Res; 2021 Dec; 23(12):e26988. PubMed ID: 34874885
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Automated Diet Capture Using Voice Alerts and Speech Recognition on Smartphones: Pilot Usability and Acceptability Study.
    Chikwetu L; Daily S; Mortazavi BJ; Dunn J
    JMIR Form Res; 2023 May; 7():e46659. PubMed ID: 37191989
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Self-monitoring of dietary intake by young women: online food records completed on computer or smartphone are as accurate as paper-based food records but more acceptable.
    Hutchesson MJ; Rollo ME; Callister R; Collins CE
    J Acad Nutr Diet; 2015 Jan; 115(1):87-94. PubMed ID: 25262244
    [TBL] [Abstract][Full Text] [Related]  

  • 11. New mobile methods for dietary assessment: review of image-assisted and image-based dietary assessment methods.
    Boushey CJ; Spoden M; Zhu FM; Delp EJ; Kerr DA
    Proc Nutr Soc; 2017 Aug; 76(3):283-294. PubMed ID: 27938425
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Activity-based nutrition management model for healthcare using similar group analysis.
    Chung K; Kim J
    Technol Health Care; 2019; 27(5):473-485. PubMed ID: 31127737
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Wearable and Mobile Sensors for Personalized Nutrition.
    Sempionatto JR; Montiel VR; Vargas E; Teymourian H; Wang J
    ACS Sens; 2021 May; 6(5):1745-1760. PubMed ID: 34008960
    [TBL] [Abstract][Full Text] [Related]  

  • 14. The mobile sleep lab app: An open-source framework for mobile sleep assessment based on consumer-grade wearable devices.
    Burgdorf A; Güthe I; Jovanović M; Kutafina E; Kohlschein C; Bitsch JÁ; Jonas SM
    Comput Biol Med; 2018 Dec; 103():8-16. PubMed ID: 30316065
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A Framework for Applying Natural Language Processing in Digital Health Interventions.
    Funk B; Sadeh-Sharvit S; Fitzsimmons-Craft EE; Trockel MT; Monterubio GE; Goel NJ; Balantekin KN; Eichen DM; Flatt RE; Firebaugh ML; Jacobi C; Graham AK; Hoogendoorn M; Wilfley DE; Taylor CB
    J Med Internet Res; 2020 Feb; 22(2):e13855. PubMed ID: 32130118
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A Brief Tool to Assess Image-Based Dietary Records and Guide Nutrition Counselling Among Pregnant Women: An Evaluation.
    Ashman AM; Collins CE; Brown LJ; Rae KM; Rollo ME
    JMIR Mhealth Uhealth; 2016 Nov; 4(4):e123. PubMed ID: 27815234
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Natural language processing of spoken diet records (SDRs).
    Lacson R; Long W
    AMIA Annu Symp Proc; 2006; 2006():454-8. PubMed ID: 17238382
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Modifying the Healthy Eating Index to assess diet quality in children and adolescents.
    Feskanich D; Rockett HR; Colditz GA
    J Am Diet Assoc; 2004 Sep; 104(9):1375-83. PubMed ID: 15354153
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Development of the Healthy Eating Index-2005.
    Guenther PM; Reedy J; Krebs-Smith SM
    J Am Diet Assoc; 2008 Nov; 108(11):1896-901. PubMed ID: 18954580
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The importance of field experiments in testing of sensors for dietary assessment and eating behavior monitoring.
    Doulah A; Yang X; Parton J; Higgins JA; McCrory MA; Sazonov E
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():5759-5762. PubMed ID: 30441644
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.