Anasayfa » Gıda ve Beslenme Dergisi 17. sayı – kaynaklar

Gıda ve Beslenme Dergisi 17. sayı – kaynaklar

tarafından gtbdnova18

Beslenme ve Diyetetik Alanında Modern Çözümlerin Önemi: Yapay Zekâ

Kaynaklar:

Bond, A., Mccay, K., & Lal, S. (2023). Artificial intelligence & clinical nutrition: What the future might have in store. Clinical Nutrition ESPEN, 57, 542–549. https://doi.org/10.1016/j.clnesp.2023.07.082/

Ghelani, D. P., Moran, L. J., Johnson, C., Mousa, A., & Naderpoor, N. (2020). Mobile apps for weight management: a review of the latest evidence to inform practice. Frontiers in Endocrinology, 11, 412. https://doi.org/10.3389/fendo.2020.00412

Hazarhun, E., & Yılmaz, Ö. D. (2020). Restoranlarda dijital dönüşüm: Touch restoran örneği. Gastroia: Journal of Gastronomy and Travel Research, 4(3), 384-399. https://doi.org/10.32958/gastoria.803143

Kalyoncu Atasoy, Z. B., Avcı, E., Beydoğan, R., Özdemir, E., & Göktaş, P. (2024). SAĞLIK & BİLİM 2023: YAPAY ZEKA VE BESLENME. Efe Akademi Yayınları. https://doi.org/10.59617/efepub202367

Kirk, D., Catal, C., & Tekinerdogan, B. (2021). Precision nutrition: A systematic literature review. Computers in Biology and Medicine, 133, 104365. https://doi.org/10.1016/j.compbiomed.2021.104365

Limketkai, B. N., Mauldin, K., Manitius, N., Jalilian, L., & Salonen, B. R. (2021). The age of artificial intelligence: use of digital technology in clinical nutrition. Current Surgery Reports, 9(7), 20. https://doi.org/10.1007/s40137-021-00297-3

Picone, G., Mengucci, C., & Capozzi, F. (2022). The NMR added value to the green foodomics perspective: Advances by machine learning to the holistic view on food and nutrition. Magnetic Resonance in Chemistry, 60(7), 590-596. https://doi.org/10.1002/mrc.5257

Ren, S. S., Zhu, M. W., Zhang, K. W., Chen, B. W., Yang, C., Xiao, R., & Li, P. G. (2022). Machine learning-based prediction of in-hospital complications in elderly patients using GLIM-, SGA-, and ESPEN 2015-diagnosed malnutrition as a factor. Nutrients, 14(15), 3035. https://doi.org/10.3390/nu14153035

Tarricone, R., Petracca, F., Ciani, O., & Cucciniello, M. (2021). Distinguishing features in the assessment of mHealth apps. Expert Review of Pharmacoeconomics & Outcomes Research, 21(4), 521-526.  https://doi.org/10.1080/14737167.2021.1891883

Uribe, A. L. M., & Patterson, J. (2023). Are nutrition professionals ready for artificial intelligence?. Journal of Nutrition Education and Behavior, 55(9), 623. https://doi.org/10.1016/j.jneb.2023.07.007

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