Conference Papers

Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506

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    Optimized diet plan using unbounded knapsack Algorithm
    (Institute of Electrical and Electronics Engineers Inc., 2020) Bobade, P.; Kumar, P.; Chandrasekaran, K.; Divakarla, D.
    Cholesterol, hypertension and diabetes are the three major chronic diseases from which most of the people suffers and these peoples often use search engines to acquire related information about these problems. But, almost every information related to diet on the internet isn't suitable for people to gather information about the diet suggestions. A system for diet suggestion which can advocate a prudent diet for such peoples is suggested in this paper. We designed a system that recommends a proper diet which has the adequate knowledge of three above mentioned highly chronic diseases. We propose a solution to the menu recommending problem using the optimization algorithm known as unbounded knapsack. We designed a model which satisfies the nutritional requirements of individuals while imposing the 'Laws of Nutrition', a set of hypothesis used by almost all Latin America's nutrition scientists. This prototype corresponds to a numerical optimization problem with constraints. We design a menu items generator application model to set up a convenient menu for a user with different properties. © 2020 IEEE.
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    AntLion Optimization Algorithm based Type II Diabetes Mellitus Prediction
    (Institute of Electrical and Electronics Engineers Inc., 2022) Anbalagan, A.; Baskar, C.; Deekshetha, H.R.; Reshma, S.; Vijayalakshmi, M.; Arumuga Perumal, D.
    Diabetes Mellitus is one of the common diseases prevailing in most developed and developing countries. In recent decades, there has been a huge rise in diabetes patients in India. Based on recent statistics, nearly 72.96 million young people are suffering from diabetes. Thus, it is essential to diagnose diabetes at an early stage. In this work, the PIMA dataset is used to design an optimized and super-vised learning model based on K-nearest neighbor classification. The optimization algorithm used to generate useful features to predict diabetes mellitus is the Antlion optimization algorithm. The proposed work yields an accuracy of 80% for the selected features like Pregnancy, BMI, BP, Age, Glucose, and Diabetes Pedigree Function. © 2022 IEEE.