Implications Of Associated Diseases And Its Factors In Predicting The Obesity Disorder
Keywords:
ML – machine learning, BMI – Body mass index, Datamining, Obesity, Naïve Bayes, K-Neighbors, Extreme Gradient Boost, and Decision Tree classifiers.Abstract
Obesity is caused by energy imbalance. A body mass index is a measurement obtained by dividing a person’s weight by the square of the persons height. Obesity is further evaluated in terms of fat distribution around the waist. Obesity is a chronic medical condition that increases your risk of diseases and health problems particularly certain types of cancer, Cardiovascular diseases, Type 2 diabetes, Osteoarthritis, Infertility, Irregular periods, Nonalcoholic fatty liver, Obstructive sleep apnea. Datamining is extracting essential
information. Machine learning algorithms applied like Naïve Bayes, K-Neighbors, Extreme Gradient Boost, and Decision Tree classifiers.