Résumé
The use of machine learning algorithms in the field of nutritional health is a topic that has been developed in recent years for the early diagnosis of diseases or the recommendation of better nutritional habits. People with poor diets are more prone to chronic diseases and, in the long term, this can lead to dead. This study proposes a model for the recommendation of nutritional plans using the decision tree technique considering the patient data, in complement with the BMI (Body Mass Index) and BMR (Basal Metabolic Rate) to evaluate and recommend the best nutritional plan for the patient. The algorithm used in the model was trained with a dataset of meal plan data assigned by specialists which were obtained from the Peruvian food composition table, and the data from the diets that were assigned and collected from the nutrition area of the Hospital Marino Molina Sccipa in Lima, Peru. Preliminary results of the experiment with the proposed algorithm show an accuracy of 78.95% allowing to provide accurate recommendations from a considerable amount of historical data. In a matter of seconds, these results were obtained using Scikit learn library. Finally, the accuracy of the algorithm has been proven, generating the necessary knowledge so that it can be used to create appropriate nutritional plans for patients and to improve the process of creating plans for the nutritionist.
Langue d'origine | English |
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Titre de la publication principale | Proceedings of 2022 17th Iberian Conference on Information Systems and Technologies, CISTI 2022 |
Éditeurs | Alvaro Rocha, Borja Bordel, Francisco Garcia Penalvo, Ramiro Goncalves |
Maison d'édition | IEEE Computer Society |
ISBN (électronique) | 9789893334362 |
DOI | |
Statut de publication | Published - 2022 |
Événement | 17th Iberian Conference on Information Systems and Technologies, CISTI 2022 - Madrid, Spain Durée: juin 22 2022 → juin 25 2022 |
Séries de publication
Prénom | Iberian Conference on Information Systems and Technologies, CISTI |
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Volume | 2022-June |
ISSN (imprimé) | 2166-0727 |
ISSN (électronique) | 2166-0735 |
Conference
Conference | 17th Iberian Conference on Information Systems and Technologies, CISTI 2022 |
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Pays/Territoire | Spain |
Ville | Madrid |
Période | 6/22/22 → 6/25/22 |
Note bibliographique
Publisher Copyright:© 2022 IEEE Computer Society. All rights reserved.
ASJC Scopus Subject Areas
- Computer Networks and Communications
- Information Systems