An example embodiment may involve obtaining, by a computing
system, an observation of demographic values of an individual, vital sign values of the individual, and
blood test values of the individual: applying, by the computing
system, a
machine learning model to the observation, wherein the
machine learning model was trained with a training
data set, wherein the training
data set contained observations of corresponding demographic values, vital sign values,
blood test values, and either
urine albumin-to-
creatinine ratio (UACR) values or
urine protein-to-
creatinine ratio (UPR) values for a plurality of individuals, and wherein the
machine learning model is configured to provide predictions of whether further observations are indicative of undiagnosed
albuminuria or
proteinuria; and providing, by the computing
system, a prediction of whether the individual exhibits undiagnosed
albuminuria or
proteinuria based on the observation.