Time-resolved trajectory of glucose lowering medications and cardiovascular outcomes in type 2 diabetes: a recurrent neural network analysis

HIGHLIGHTS

• who: Enrico Longato from the Department of Medicine DIMED, University of Padova, Via Giustiniani, Padua, Italy have published the research work: Time-resolved trajectory of glucose lowering medications and cardiovascular outcomes in type 2 diabetes: a recurrent neural network analysis, in the Journal: (JOURNAL) of 11/01/2011
• what: This novel approach of classification by a deep RNN model with attention landscapes reveals the importance of the detailed patient's trajectory of GLM use over time in discriminating subsequent occurrence of a 4P-MACE and highlights some drugs driving the discrimination.
• how: The . . .
  

   

  

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