Ontology for Nutritional Promotion in Cancer Patients
DOI:
https://doi.org/10.14456/jiskku.2023.11Keywords:
Ontology, Nutrition, Cancer patientsAbstract
Purpose: The purposes of this study were to develop and to evaluate the ontology for promoting nutrition in cancer patients.
Methodology: The research employed a research and development approach, consisting of three steps: ontology requirements specification, ontology design and development, and ontology evaluation.
Findings: The developed ontology was evaluated by experts, and the results indicated that it was highly appropriate overall and in all aspects. Furthermore, the ontology was assessed using the Ontology Pitfall Scanner, and no critical pitfalls were detected. In addition, the information retrieval was effectively evaluated using SPARQL, with precision, recall, and F-measure averages of 1.00.
Applications of this study: The developed ontology can be used as a knowledge base for developing information retrieval system or personalized food and nutrition recommendation system for cancer patients. It can be valuable for healthcare providers in planning the nutritional needs of cancer patients.
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References
Angkatavanich, J. (2015). Nutrition and dietetics in cancer. (In Thai). Bangkok: Phanyamit Printing Company Limited.
Arundon, T., Ruangdam, A., Ruangkajorn, P., Pruphetkaew, N., & Sunpaweravong, P. (2017). Nutritional status, beliefs, and meat-consumption behaviors among cancer patients. (In Thai). Thai Cancer Journal, 37(4), 127-141.
Baeza-Yates, R., & Ribeiro-Neto, B. (1999). Modern information retrieval. New York: ACM Press.
Deekaew, P. (2016). Nutrition recommender system for hypertension patient using ontology. (In Thai). Master thesis in Computer Technology, King Mongkut’s University of Technology North Bangkok.
Lertkrai, J., & Boonbrahm, S. (2017). Application of ontology technology for food recommendation. (In Thai). Journal of Information Science and Technology, 7(1), 22-32.
Mckensy-Sambola, D., Rodríguez-García, M.Á., García-Sánchez, F., & Valencia-García, R. (2022). Ontology-based nutritional recommender system. Applied Sciences, 12(1), 143. https://doi.org/10.3390/app12010143
Noy, N.F., & McGuinness, D.L. (2001). Ontology development 101: a guide to creating your first ontology. Stanford Knowledge Systems Laboratory Technical Report KSL-01-05 and Stanford Medical Informatics Technical Report SMI-2001-0880. Retrieved from http://www.ksl.stanford.edu/people/dlm/papers/ontology-tutorial-noy-mcguinness-abstract.html
Potarin, W., Saengthong, W., Chaiyasit, Y., Boonlom, T., & Nualsithong, N. (2021). The role of nurses for promoting nutrition in cancer patients receiving chemotherapy. (In Thai). Journal of MCU Nakhondhat, 8(9), 131-143.
Sivilai, S. (2016). SWRL rules optimization of ontology reasoning for in-patients diets planning system. (In Thai). Doctoral thesis in Computer Science, Naresuan University.
Strategy and Planning Division. (2019). Public health statistics A.D. 2019. (In Thai). Nonthaburi: Strategy and Planning Division, Permanent Secretary Ministry of Public Health. Retrieved from https://bps.moph.go.th/new_bps/sites/default/files/statistic62.pdf
Toledo, R.Y., Alzahrani, A.A., & Martínez, L. (2019). Food recommender system considering nutritional information and user preferences. IEEE Access, 7, 96695-96711. https://doi.org/10.1109/ACCESS.2019.2929413
World Health Organization. (2020). Global cancer profile. Retrieved from https://www.who.int/teams/noncommunicable-diseases/surveillance/data/cancer-profiles
Yuphet, K., Sangthawee, P., & Utchariyaprasit, E. (2020). Nursing management for nutritional improvement of cancer patients. (In Thai). Siriraj Med Bull, 13(2), 133-140.
