Classification Algorithm Performance Study on Diabetes Electronic Medical Records / 医学信息学杂志
Journal of Medical Informatics
;
(12): 65-68,77, 2018.
Artículo
en Chino
| WPRIM
| ID: wpr-700756
ABSTRACT
The paper preprocesses the data including basic information,admission and discharge record and progress note of diabetes Electronic Medical Records (EMR),implementing decision tree,Artificial Neural Network (ANN),Naive bayesian and K-Nearest Neighbor (KNN) classifications respectively on data that have been processed with Weka 3.9.The result shows that Naive bayesian classification,which is superior to the others in predicting and classifying such data,can provide basis for the classification and prediction of diabetes.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Tipo de estudio:
Estudio pronóstico
Idioma:
Chino
Revista:
Journal of Medical Informatics
Año:
2018
Tipo del documento:
Artículo
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