Table 1 Feature list organized into at-home, monitoring, and laboratory groups, where the at-home group is a subgroup of monitoring, and monitoring is a subgroup of laboratory features.

From: Machine learning for classifying chronic kidney disease and predicting creatinine levels using at-home measurements

Attribute

Symbol

Type

Feature set

Age

Age

Numerical

At-home

Race

Race

Nominal

At-home

Sex

Sex

Nominal

At-home

Hypertension

HTN

Nominal

At-home

Diabetes mellitus

DM

Nominal

At-home

Coronary artery disease

CAD

Nominal

At-home

Appetite

APPET

Nominal

At-home

Pedal edema

PE

Nominal

At-home

Anemia

ANE

Nominal

At-home

Blood pressure

BP

Numerical

At-home

Red blood cells

RBC

Nominal

Monitoring

Red blood cell count

RBCC

Numerical

Monitoring

White blood cell count

WBCC

Numerical

Monitoring

Blood glucose random

BGR

Numerical

Monitoring

Blood urea

BU

Numerical

Monitoring

Sodium

SOD

Numerical

Monitoring

Potassium

POT

Numerical

Monitoring

Hemoglobin

HEMO

Numerical

Monitoring

Specific gravity

SG

Nominal

Laboratory

Albumin

AL

Nominal

Laboratory

Sugar

SU

Nominal

Laboratory

Bacteria

BA

Nominal

Laboratory

Pus cell

PC

Nominal

Laboratory

Pus cell clumps

PCC

Nominal

Laboratory

Packed cell volume

PCV

Numerical

Laboratory