Table 7.
Features selected commonly and individually by the best three machine learning models.
Feature categories | Selected by 3 models | Selected by 2 models | Selected by 1 model |
---|---|---|---|
Demographic | Race | EthnicitySexAge | |
Anthropometric | Lean body massConicity index | Weight in kgWaist circumference in cmBia resistanceFat free mass | Height in cmBMI |
Disease-Related | Length of dialysis treatmentDialysis accessDiabetes medication, insulinAnti-inflammatory medicationEtiology of CKD (hypertension) | Oral diabetes medicationAnti-lipemic medication | History of diabetesAnti-hypertensive medicationDialysis treatment timeEtiology of CKD (diabetes) |
Clinical/Dynamic | Interdialytic weight gainHeart rate (bpm) | Weekly mean kt/vBody temperatureWeekly mean npcr | Weekly mean urrDystolic blood pressureSystolic blood pressure |
Patient-Reported | Enjoy mealtimesWeekly appetite evaluationFeel like eatingDaily appetite rating | Intake on non-dialysis dayEnjoyment of eating on dialysis day | Difficulty following dialysis dietIntake on dialysis dayOverall appetite ratingAppetite on non-dialysis dayLack of appetite |
Provider-Assessed | SGA physical examinationSGA gastrointestinal examinationSGA functional examination | SGA weight change assessmentSGA overall malnutrition rating | SGA disease assessment |
bpm: beats per minute; BMI: body mass index; CKD: chronic kidney disease; kt/v: fractional urea clearance; npcr: normalized protein catabolic rate; SGA: Subjective Global Assessment; urr: urea reduction rate.