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Image-Assisted Dietary Assessment: A Systematic Review of the Evidence
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“Although educational interventions (EI) are time- and resource-intensive (Rossi et al., 2017), mobile applications may provide a convenient and time-efficient alternative”
From Educational intervention using a mobile app to enhance sports nutrition knowledge and dietary habits in student-athletes: a randomized controlled trial (2025) · cites this paper as Gemming et al., 2015
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The Use of Mobile Devices in Aiding Dietary Assessment and Evaluation
Zhu, F., Bosch, M., Woo, I., Kim, S., Boushey, C. J., Ebert, D. S., & Delp, E. J. (2010) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2010.2051471 · Cited by 355
Need for Technological Innovation in Dietary Assessment
Thompson, F. E., Subar, A. F., Loria, C. M., Reedy, J. L., & Baranowski, T. (2010) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2009.10.008 · Cited by 349
An ethical framework for automated, wearable cameras in health behavior research.
Kelly, P., Marshall, S. J., Badland, H., Kerr, J., Oliver, M., Doherty, A. R., & Foster, C. (2013) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2012.11.006 · Cited by 244
The Psychosocial and Behavioral Characteristics Related to Energy Misreporting
Maurer, J., Taren, D. L., Teixeira, P. J., Thomson, C. A., Lohman, T. G., Going, S. B., & Houtkooper, L. B. (2006) · Nutrition Reviews · doi:10.1111/j.1753-4887.2006.tb00188.x · Cited by 244
Use of technology in children’s dietary assessment
Boushey, C. J., Kerr, D. A., Wright, J., Lutes, K. D., Ebert, D. S., & Delp, E. J. (2009) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2008.65 · Cited by 231
Daugherty, B. L., Schap, T. E., Ettienne-Gittens, R., Zhu, F. M., Bosch, M., Delp, E. J., Ebert, D. S., Kerr, D. A., & Boushey, C. J. (2012) · Journal of Medical Internet Research · doi:10.2196/jmir.1967 · Cited by 176
New technology in dietary assessment: a review of digital methods in improving food record accuracy
Stumbo, P. J. (2013) · Proceedings of the Nutrition Society · doi:10.1017/s0029665112002911 · Cited by 146
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Reber, E., Gomes, F., Vasiloglou, M. F., Schuetz, P., & Stanga, Z. (2019) · Journal of Clinical Medicine · doi:10.3390/jcm8071065 · Cited by 485
Park, Y., Dodd, K. W., Kipnis, V., Thompson, F. E., Potischman, N., Schoeller, D. A., Baer, D. J., Midthune, D., Troiano, R. P., Bowles, H., et al. (2018) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqx002 · Cited by 367
Dietary Assessment Toolkits: An Overview
Dao, M. C., Subar, A. F., Warthon-Medina, M., Cade, J. E., Burrows, T., Golley, R. K., Forouhi, N. G., Pearce, M., & Holmes, B. A. (2019) · Public Health Nutrition · doi:10.1017/s1368980018002951 · Cited by 176
Personalized machine learning of depressed mood using wearables
Shah, R. V., Grennan, G., Zafar-Khan, M., Alim, F., Dey, S., Ramanathan, D., & Mishra, J. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01445-0 · Cited by 123
Heintzman, N. D. (2016) · Journal of Diabetes Science and Technology · doi:10.1177/1932296815622453 · Cited by 98
Metadata
- Authors
- Gemming, L., Utter, J., & Ni Mhurchu, C.
- Venue
- Journal of the Academy of Nutrition and Dietetics
- Publisher
- Elsevier BV
- Published
- 2015-01
- Volume
- 115
- Issue
- 1
- Pages
- 64-77
- ISSN
- 2212-2672
- Cited by
- 222
- References
- 7
- Language
- en
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.