Diabetes prediction model based on GA-XGBoost and stacking ensemble algorithm

Diabetes, as an incurable lifelong chronic disease, has profound and far-reaching effects on patients. Given this, early intervention is particularly crucial, as it can not only significantly improve the prognosis of patients but also provide valuable reference information for clinical treatment. Th...

Full description

Saved in:

Bibliographic Details
Published in:	PloS one Vol. 19; no. 9; p. e0311222
Main Authors:	Li, Wenguang, Peng, Yan, Peng, Ke
Format:	Journal Article
Language:	English
Published:	United States Public Library of Science 30.09.2024
Subjects:	Accuracy Adult Aged Algorithms Analysis Artificial intelligence Body mass index Body size Classification Computer and Information Sciences Data mining Datasets Decision support systems Decision trees Diabetes Diabetes mellitus Diabetes Mellitus - diagnosis Diabetes Mellitus - epidemiology Diagnosis Disease Evaluation Female Genetic algorithms Health care expenditures Health risks Health services Health surveys Humans Impact analysis Learning algorithms Machine Learning Male Medicine and Health Sciences Middle Aged Neural networks Patients Performance prediction Physical Sciences Prediction models Research and Analysis Methods Risk Factors Risk taking Sampling methods Support vector machines Surveillance systems China
ISSN:	1932-6203, 1932-6203
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!