HIGHLIGHTS
- who: Hugo De Oliveira and collaborators from the France, HEVA, Lyon, France Editor: France have published the Article: Explaining predictive factors in patient pathways using autoencoders, in the Journal: PLOS ONE of October/20,/2022
- what: This paper introduces an end-to-end methodology to predict pathway-related outcome and identifying factors using autoencoders. formal description of autoencoders for explainable binary predictions is presented along with two objective functions that allows for filtering and inverting negative examples during training. methodology to model and transform complex medical event logs is also proposed which keeps the pathway . . .
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