Title: A prototype for intelligent diet recommendations by considering disease and medical condition of the patient

Authors: Suvendu Kumar Nayak; Mamata Garanayak; Sangram Keshari Swain; Bijay Kumar Paikaray

Addresses: Department of CSE, Centurion University of Technology and Management, Bhubaneswar, Odisha, India ' Kalinga Institute of Social Sciences, Deemed to be University, Bhubaneswar, Odisha, India ' Department of CSE, Centurion University of Technology and Management, Bhubaneswar, Odisha, India ' Centre for Data Science, Department of Computer Science and Engineering, Siksha 'O' Anusandhan (Deemed to be) University, Odisha, India

Abstract: The patient must follow a good diet to lessen the risk of health conditions. The body needs vitamins, minerals, and nutrients for illness prevention. When the human body does not receive the right amount of nutrients, nutritional disorders can develop, which can cause a number of different health issues. Chronic diseases like diabetes and hypertension can be brought on by dietary deficiencies. The human body receives the nutrients from a balanced diet to function properly. This research has a prototype that enables patients to find nutritious food according to their health preferences. It suggests meals based on their preferences for nutrients such as protein, fibre, high-fibre, low-fat, etc., and diseases such as pregnancy and diabetes. The process implements the recommendation based on the patient's profile (content-relied, K-NN), recommendation relied on patients with similar profiles, and recommendation based on the patient's past or recent activity.

Keywords: recommendation prototype; disease; patient's preferences; nutrition.

DOI: 10.1504/IJBSR.2024.142053

International Journal of Business and Systems Research, 2024 Vol.18 No.6, pp.515 - 538

Received: 08 Jul 2023
Accepted: 22 Feb 2024
Published online: 07 Oct 2024 *

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