Artificial Intelligence Techniques for Predicting Type 2 Diabetes

Autor: P. S. Venugopala, Ramyashree, Debmalya Barh, B. Ashwini
Rok vydání: 2020
Předmět:
Zdroj: Advances in Intelligent Systems and Computing ISBN: 9789811535130
DOI: 10.1007/978-981-15-3514-7_32
Popis: Diabetes is the most common disease experienced recently. Type 1 diabetes, type 2 diabetes, and gestational diabetes are the most common types of diabetes. The aim is to predict the type 2 diabetes with various parameters. “Diabetes risk score or test system” is designed with the various risk factors like age, waist circumference, physical activity, family history, and BMI using artificial intelligence technique and to design a universally acceptable diabetes prediction system that predicts the possibility of diabetes risk. This process is carried out using the various parameters of the patient’s lifestyle and without using the data from medical test results. The individuals who are interested to know about their risk score can use this diabetes risk score system.
Databáze: OpenAIRE