Using an optimized generative model to infer the progression of complications in type 2 diabetes patients

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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Bibliographic Details
Main Authors: Bates, D.W (Author), He, Y. (Author), Lin, Y. (Author), Plasek, J.M (Author), Tang, C. (Author), Wang, X. (Author), Xiong, Y. (Author), Zhang, S. (Author), Zhang, Z. (Author), Zhou, L. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2022
Subjects:
Computer simulation
Diabetes mellitus, type 2
Disease progression model
Electronic health records
Probabilistic generative model
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