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

BACKGROUND: Early 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 and efficient methods...

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Detalles Bibliográficos
Autores principales: Yang, Tianzhou, Zhang, Li, Yi, Liwei, Feng, Huawei, Li, Shimeng, Chen, Haoyu, Zhu, Junfeng, Zhao, Jian, Zeng, Yingyue, Liu, Hongsheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7333074/
https://www.ncbi.nlm.nih.gov/pubmed/32554386
http://dx.doi.org/10.2196/15431

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7333074/
https://www.ncbi.nlm.nih.gov/pubmed/32554386
http://dx.doi.org/10.2196/15431

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