Machine Learning Powered Nutritional Guidance System Using Personalized Nutritional and Digital Health Record
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-69986-3_36
Reference10 articles.
1. Yera Toledo, R., Alzahrani, A.A., Martínez, L.: A food recommender system considering nutritional information and user preferences. IEEE Access 7, 96695–96711 (2019). https://doi.org/10.1109/ACCESS.2019.2929413
2. Toledo, R.Y., Martínez, L.: A health-awareness nutrition recommender system. In: 2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE), pp. 36–42 (2019). https://doi.org/10.1109/ISKE47853.2019.9170432
3. Rehman, F., Khalid, O., Haq, N., Khan, A.U.R., Bilal, K., Madani, S.: Diet-right: a smart food recommendation system. KSII Trans. Internet Inf.n Syst. 11, 2910–2925 (2017). https://doi.org/10.3837/tiis.2017.06.006
4. Islam, T., Joyita, A.R., Alam, M.G.R., Mehedi Hassan, M., Hassan, M.R., Gravina, R.: Human-behavior-based personalized meal recommendation and menu planning social system. IEEE Trans. Comput. Soc. Syst. 10(4), 2099–2110 (2023). https://doi.org/10.1109/TCSS.2022.3213506
5. Bianchini, D., Antonellis, V.D., Franceschi, N.D., Melchiori, M.: PREFer: a prescription-based food recommender system. Comput. Stand. Interfaces 54, 64–75 (2017)
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