From: Predicting dry weight change in Hemodialysis patients using machine learning
category | items |
---|---|
Demographic and anthropometric data | Age, gender, race, height, date of introduction of dialysis, name of primary disease |
Laboratory test results | Pre- and post-dialysis WBC, RBC, Hb, Ht, Plt, Ret, TP, Alb, ALP, ChE, BUN, Cre, Na, K, Cl, Ca, IP, intact PTH, Fe, UIBC, FER, BNP, CRP |
Prescription data | Drug name, dosage, number of days prescribed, and start date |
Medical record entries that include the following keywords | Pulmonary congestion, pleural effusion, oxygen administration, edema, hypotension |
Dialysis record | Membrane area of dialyzer, blood flow rate, injected drugs during dialysis, cardiothoracic ratio, median values of vital signs (blood pressure, pulse rate, body temperature), intradialytic hypotension |