Abstract
Adequate nutritional regimes have been generally accepted as important prevention and management steps for non-communicable diseases (NCDs). In all cases, little research is now underway into safe food fixtures which support the rehabilitation of NCDs. Right now, significantly investigated the connection between healthful fixings and maladies by utilizing information mining techniques. Initially, in excess of 7000 sicknesses were acquired, and we gathered the suggested nourishment and unthinkable nourishment for every illness. The analyses on genuine information show that our technique dependent on data mining improves the exhibition contrast and the conventional measurable methodology, with the accuracy of 1.682. Moreover, for some basic ailments, for example, diabetes, hypertension, and coronary illness, our work can recognize effectively the initial a few nourishing fixings in nourishment that can profit the restoration of those ailments. These exploratory outcomes exhibit the adequacy of applying information mining in choosing of wholesome fixings in nourishment for ailment examination.
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Thilagavathy, A., Rishi, T., Reddy, V.D., Nimmagadda, S. (2022). Nutritional Ingredients Analyzer for Food. In: Borah, S., Mishra, S.K., Mishra, B.K., Balas, V.E., Polkowski, Z. (eds) Advances in Data Science and Management . Lecture Notes on Data Engineering and Communications Technologies, vol 86. Springer, Singapore. https://doi.org/10.1007/978-981-16-5685-9_29
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DOI: https://doi.org/10.1007/978-981-16-5685-9_29
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