Ensemble Learning Models Based on Noninvasive Features for Type 2 Diabetes Screening: Model Development and Validation

Ensemble Learning Models Based on Noninvasive Features for Type 2 Diabetes Screening: Model Development and Validation

BackgroundEarly diabetes screening can effectively reduce the burden of disease. However, natural population–based screening projects require a large number of resources. With the emergence and development of machine learning, researchers have started to pursue more flexible...

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Bibliographic Details
Main Authors: Yang, Tianzhou, Zhang, Li, Yi, Liwei, Feng, Huawei, Li, Shimeng, Chen, Haoyu, Zhu, Junfeng, Zhao, Jian, Zeng, Yingyue, Liu, Hongsheng
Format: Article
Language:English
Published: JMIR Publications 2020-06-01
Series:JMIR Medical Informatics
Online Access:https://medinform.jmir.org/2020/6/e15431

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