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Found 3 papers, 1 papers with code
Causal thinking for decision making on Electronic Health Records: why and how
We illustrate the various choices in studying the effect of albumin on sepsis mortality in the Medical Information Mart for Intensive Care database (MIMIC-IV).
Neural translation and automated recognition of ICD10 medical entities from natural language
This article investigates the applications of deep neural sequence models to the medical entity recognition from natural language problem.
A deep artificial neural network based model for underlying cause of death prediction from death certificates
Underlying cause of death coding from death certificates is a process that is nowadays undertaken mostly by humans with a potential assistance from expert systems such as the Iris software.
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