Diabetes Risk Prediction using Feature Importance Extreme Gradient Boosting (XGBoost)

Diabetes Risk Prediction using Feature Importance Extreme Gradient Boosting (XGBoost)

Diabetes results from impaired pancreatic function as a producer of insulin and glucagon hormones, which regulate glucose levels in the blood. People with diabetes today are not only experienced adults, but pre-diabetes has been identified since the age of children and adolescents. Early prediction...

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Bibliographic Details
Main Authors:	Kartina Diah Kusuma Wardani, Memen Akbar
Format:	Article
Language:	English
Published:	Ikatan Ahli Informatika Indonesia 2023-08-01
Series:	Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Subjects:	diabetes prediction machine learning xgboost
Online Access:	http://jurnal.iaii.or.id/index.php/RESTI/article/view/4651

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