Table 4 Description of the most important features in the CKD dataset produced by random forest
From: Early prediction of chronic kidney disease based on ensemble of deep learning models and optimizers
Feature | Description |
|---|---|
Age | Patient’s age |
250 | ICD_9 of diabetes |
401 | ICD_9 of essential hypertension |
C08CA | ATC of Dihydropyridine derivatives |
C09CA | ATC of angiotensin |
Sex | Male or female |
A10BB | ATC of Sulfonylureas |
N02BE | ATC of Anilids |
A10BA | ATC of Biguanides |
274 | ICD_9 of Gout |
J07BB | ATC of INFLUENZA VACCINES |