ARTIFICIAL INTELLIGENCE PREDICTION OF CHRONIC KIDNEY FAILURE

Abstract

Adaptability and survival of the human body is dependent on the ability of separate body organs to work together as a system. The kidney, as one of the important organs of the body, deserves proper care to avoid failure. This research aimed to simulate and identify the threshold points of kidney failure using SEUCR test results obtained from indigenous hospitals in the Eastern part of Nigeria and synchronized in TensorFlow, an open-source library for numerical computation.  The result is presented in real-time, large-scale, and verified with machine learning. A Virtual kidney diagnostic platform at 97% accuracy depicted threshold points of kidney failures