Kidney Care: Artificial Intelligence-Based Mobile Application for Diagnosing Kidney Disease

Prior identification is an important factor in controlling the chronic kidney disease (CKD). The clinical data and diagnostic results provide concealed facts which will help physicians to identify severity of CKD. In this paper, we propose a fuzzy analytical hierarchy process-based model for detecting CKD. In addition, a mobile app has been developed for collecting data from patient. The performance evaluation shows that relatively high accuracy can be achieved through the proposed method.