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.
Article
in Chinese
| WPRIM (Western Pacific)
| ID: wpr-700756
Responsible library:
WPRO
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.
Full text:
Available
Health context:
Sustainable Health Agenda for the Americas
Health problem:
Goal 6: Information systems for health
Database:
WPRIM (Western Pacific)
Type of study:
Prognostic study
Language:
Chinese
Journal:
Journal of Medical Informatics
Year:
2018
Document type:
Article