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Using an optimized generative model to infer the progression of complications in type 2 diabetes patients
BACKGROUND: People live a long time in pre-diabetes/early diabetes without a formal diagnosis or management. Heterogeneity of progression coupled with deficiencies in electronic health records related to incomplete data, discrete events, and irregular event intervals make identification of pre-diabe...
Autores principales: | Wang, Xiaoxia, Lin, Yifei, Xiong, Yun, Zhang, Suhua, He, Yanming, He, Yuqing, Zhang, Zhikun, Plasek, Joseph M., Zhou, Li, Bates, David W., Tang, Chunlei |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9250218/ https://www.ncbi.nlm.nih.gov/pubmed/35778708 http://dx.doi.org/10.1186/s12911-022-01915-5 |
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