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...

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Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
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

Internet

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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