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Title:          Longitudinal deep learning clustering of Type 2 Diabetes Mellitus trajectories using routinely collected health records
Subject:        Journal of Biomedical Informatics, 135 (2022) 104218. doi:10.1016/j.jbi.2022.104218
Keywords:       Type 2 diabetes,Deep learning,Longitudinal cluster,AutoEncoder,Diabetic complications,Electronic health records
Author:         Enrico Manzini
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     Item: 
      Title: Longitudinal deep learning clustering of Type 2 Diabetes Mellitus trajectories using routinely collected health records
      Children: 
       Item: 
        Title: Introduction
       Item: 
        Title: Material and methods
        Children: 
         Item: 
          Title: Data source and study population
         Item: 
          Title: Data preprocessing
         Item: 
          Title: Kernel matrix
         Item: 
          Title: Clusters definition and validation
       Item: 
        Title: Results
        Children: 
         Item: 
          Title: Clusters validation results
         Item: 
          Title: Clusters description
       Item: 
        Title: Discussion
       Item: 
        Title: CRediT authorship contribution statement
       Item: 
        Title: Declaration of competing interest
       Item: 
        Title: Acknowledgments
       Item: 
        Title: Appendix A. Supplementary data
       Item: 
        Title: References
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    Title: Longitudinal deep learning clustering of Type 2 Diabetes Mellitus trajectories using routinely collected health records
    Author: Enrico Manzini
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