A clinical diagnostic model based on an eXtreme Gradient Boosting algorithm to distinguish type 1 diabetes

Accurate classification of type 1 diabetes (T1DM) and type 2 diabetes (T2DM) in the early phase is crucial for individual precision treatment. This study aimed to develop a classification model having fewer and easier to access clinical variables to distinguish T1DM in newly diagnosed diabetes in ad...

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Bibliographic Details
Published in:	Annals of translational medicine Vol. 9; no. 5; p. 409
Main Authors:	Tang, Xiaohan, Tang, Rui, Sun, Xingzhi, Yan, Xiang, Huang, Gan, Zhou, Houde, Xie, Guotong, Li, Xia, Zhou, Zhiguang
Format:	Journal Article
Language:	English
Published:	China 01.03.2021
Subjects:	eXtreme Gradient Boosting algorithm (XGBoost algorithm) diagnostic model type 2 diabetes (T2DM) Type 1 diabetes (T1DM)
ISSN:	2305-5839, 2305-5839
Online Access:	Get more information
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