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Citing this Article

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Published on 30.05.18 in Vol 4, No 2 (2018): Apr-Jun

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

Works citing "Accurately Inferring Compliance to Five Major Food Guidelines Through Simplified Surveys: Applying Data Mining to the UK National Diet and Nutrition Survey"

Nicholas Rosso, Philippe Giabbanelli

JMIR Public Health Surveill 2018 (May 30); 4(2):e56 

According to Crossref, the following articles are citing this article (DOI 10.2196/publichealth.9536):

(note that this is only a small subset of citations)

  1. Bodnar LM, Cartus AR, Kirkpatrick SI, Himes KP, Kennedy EH, Simhan HN, Grobman WA, Duffy JY, Silver RM, Parry S, Naimi AI. Machine learning as a strategy to account for dietary synergy: an illustration based on dietary intake and adverse pregnancy outcomes. The American Journal of Clinical Nutrition 2020;111(6):1235
    CrossRef
  2. Pillutla VS, Tawfik AA, Giabbanelli PJ. Detecting the Depth and Progression of Learning in Massive Open Online Courses by Mining Discussion Data. Technology, Knowledge and Learning 2020;25(4):881
    CrossRef
  3. Béjar LM, García-Perea MD, Reyes A, Vázquez-Limón E. Relative Validity of a Method Based on a Smartphone App (Electronic 12-Hour Dietary Recall) to Estimate Habitual Dietary Intake in Adults. JMIR mHealth and uHealth 2019;7(4):e11531
    CrossRef
  4. Oliveira Chaves L, Gomes Domingos AL, Louzada Fernandes D, Ribeiro Cerqueira F, Siqueira-Batista R, Bressan J. Applicability of machine learning techniques in food intake assessment: A systematic review. Critical Reviews in Food Science and Nutrition 2023;63(7):902
    CrossRef
  5. Yang J, Ju X, Liu F, Asan O, Church T, Smith J. Prediction for the Risk of Multiple Chronic Conditions Among Working Population in the United States With Machine Learning Models. IEEE Open Journal of Engineering in Medicine and Biology 2021;2:291
    CrossRef
  6. Lutz CB, Giabbanelli PJ. When Do We Need Massive Computations to Perform Detailed COVID‐19 Simulations?. Advanced Theory and Simulations 2022;5(2)
    CrossRef
  7. Côté M, Lamarche B. Artificial intelligence in nutrition research: perspectives on current and future applications. Applied Physiology, Nutrition, and Metabolism 2022;47(1):1
    CrossRef
  8. Russo S, Bonassi S. Prospects and Pitfalls of Machine Learning in Nutritional Epidemiology. Nutrients 2022;14(9):1705
    CrossRef
  9. Djurica D, Kummer T, Mendling J, Figl K. Investigating the impact of representation features on decision model comprehension. European Journal of Information Systems 2023;:1
    CrossRef
  10. Nguyen D, Zigmond S, Glassco S, Tran B, Giabbanelli PJ. Big data meets storytelling: using machine learning to predict popular fanfiction. Social Network Analysis and Mining 2024;14(1)
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/publichealth.9536):

  1. de Lima ALI, de Sousa Lima RJ, da Hora HRM. Advances in Multidisciplinary Medical Technologies ─ Engineering, Modeling and Findings. 2021. Chapter 2:11
    CrossRef
  2. . Big Data, Algorithms and Food Safety. 2022. Chapter 3:89
    CrossRef