Predicting Recurrent Urolithiasis And Decision Support Tool

Abstract

Decision support technology is provided for use with patients prone to recurrent urolithiasis. A mechanism is provided to determine a forecast of urolithiasis for a patient over a future time interval. The forecast may be based on temporal patterns in urinalysis parameters of the patient. In one embodiment, the mechanism utilizes a time series Hölder exponent and recurrence quantification analysis (RQA) recurrence rate to generate a forecast of recurrent symptomatic urolithiasis for a future time, such as a multi-year time horizon. Based on the generated forecast, one or more intervening actions may be carried out automatically or may be recommended, including modifying a care program for the patient, automatically scheduling interventions or consultations with specialist caregivers, or generating notifications such as electronic messages or alerts.

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