To predict the risk of chronic kidney disease (CKD) using Generalized Additive2 Models (GA2M).
Francesco LapiLorenzo NutiEttore MarconiGerardo MedeaIacopo CricelliMatteo PapiMarco GoriniMatteo FioraniGaetano PiccinocchiClaudio CricelliPublished in: Journal of the American Medical Informatics Association : JAMIA (2023)
The GA2M was reliably performant in predicting CKD in primary care. A related decision support system might be therefore implemented.