Jun 11, 2020 · Our approach leverages data mining techniques, and specifically decision trees, in order to explore medical databases that encode such diagnoses ...
This paper proposes an approach able to speed up and facilitate the tedious manual task of coding patient information, especially while coding some ...
Our approach leverages data mining techniques, and specifically decision trees, in order to explore medical databases that encode such diagnoses knowledge. It ...
In this paper, we are proposing an approach able to speed up and facilitate the tedious manual task of coding patient information, especially while coding some ...
approach leverages data mining techniques, and specifically decision trees, in order to explore. medical databases that encode such diagnoses knowledge. It ...
Predicting the encoding of secondary diagnoses. An experience based on decision trees. G Chahbandarian, N Bricon-Souf, I Megdiche, R Bastide, JC Steinbach.
... secondary diagnoses from publication: Predicting the encoding of secondary diagnoses. An experience based on decision trees | In order to measure the ...
Decision-tree analysis was utilized to identify a subset of predictor variables among the CAPS items that were most predictive of a diagnosis of PTSD. The ...
Our objective is to build sequential rules for missing diagnoses prediction by data mining of the PMSI national database. Our working sample was constructed ...
We have developed an automated coding system designed to assign codes to clinical diagnoses. The system uses the notion of certainty to recommend subsequent ...