Implications Of Associated Diseases And Its Factors In Predicting The Obesity Disorder

Authors

  • A.Ramya
  • Dr. K.Rohini

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.

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Published

2023-12-19

How to Cite

A.Ramya, & Dr. K.Rohini. (2023). Implications Of Associated Diseases And Its Factors In Predicting The Obesity Disorder. Elementary Education Online, 20(6), 3381–3389. Retrieved from https://ilkogretim-online.org/index.php/pub/article/view/4696

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Section

Articles