On the diagnosis of chronic kidney disease using a machine learning-based interface with explainable artificial intelligence

Gangani Dharmarathne, Madhusha Bogahawaththa, Marion McAfee, Upaka Rathnayake, D. P. P. Meddage

Abstract: Highlights•Six machine-learning models were used to diagnose chronic kidney disease•Explainable methods were used to interpret model predictions.•A software tool was developed to assist in diagnosing CKD•The tool provides the reasoning and critical factors behind the decision