Chronic kidney disease (CKD) machine learning prediction system, method and apparatus

A chronic kidney disease ("CKD") machine learning prediction system is disclosed. An example system is configured to provide an anticipation as to whether the patient is likely to progress to the next stage of CKD and/or whether the patient is likely to require an emergency start dialysis. The machine learning algorithms disclosed herein include dynamic multi-factor prediction algorithms programmed to account for clinical, pharmacological and extraclinical factors that adversely affect renal function. Predictions provided by the machine learning system communicate information to the clinician in order to improve CKD treatment prior to disease deterioration. In some cases, the prediction may be used to select a treatment plan, dialysis treatment, and/or renal replacement therapy ("RRT").