2 citations · 4 across the 3 of their papers we have counts for
3 papers
Causal thinking for decision making on Electronic Health Records: why and how
Matthieu Doutreligne, Tristan Struja, Judith Abecassis +3
Accurate predictions, as with machine learning, may not suffice to provide optimal healthcare for every patient. Indeed, prediction can be driven by shortcuts in the data, such as…
Neural translation and automated recognition of ICD10 medical entities from natural language
Louis Falissard, Claire Morgand, Sylvie Roussel +4
The recognition of medical entities from natural language is an ubiquitous problem in the medical field, with applications ranging from medical act coding to the analysis of electr…
A deep artificial neural network based model for underlying cause of death prediction from death certificates
Louis Falissard, Claire Morgand, Sylvie Roussel +4
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…