Chapter 14 – Disease Prediction and Diet Suggestion Using Machine Learning

Book Title: Recent Advancements and Future Perspectives in Electronics and Computer Engineering

Editors: Mr. Lochan Nagar and Dr. M.Sucharitha

ISBN: 978-81-963849-5-1

DOI: https://doi.org/10.59646/ecebookc14/007

Authors: J. Rajarajan and K. Akila Rajini, Assistant Professor, Dept. of CSE, PSN Institute of Technology and Science, Tirunelveli, Tamil Nadu, India.

Abstract:

In today’s modern-world, human beings all over the globe are getting extra inquisitive about their fitness and life-style. But simply avoiding junk meals and doing a workout is not sufficient, we require a balanced eating regimen. Also correct analysis of any fitness-related trouble is vital for the prevention and remedy of the disease. A balanced diet based on our BMI and a set of questions that ask our daily intake of food which helps to calculate the nutrient surplus or deficient in our body. A balanced diet is very much important which makes our body healthy. Additional feature of predicting the disease based on the symptoms which may help the patients to be aware of the disease where multiple machine learning algorithm like DecisionTree, RandomForest and NaïveBayes predicts the disease.