Systems and methods for compliance prediction based on device usage and patient demographic features

A system and method for providing compliance prediction using a respiratory pressure therapy device in a therapeutic regimen is disclosed. The system includes a respiratory pressure therapy device having a transmitter and an air control device to provide respiratory therapy to a patient. The respiratory pressure therapy device collects operational data and transmits the collected operational data. Demographic data of a patient is collected. Predicted compliance for the treatment regimen is determined based on inputting the operational data and demographic data to a machine-learned compliance prediction model having a compliance prediction output. A machine learning model is trained from operational data and demographic data of a population of patients using a respiratory pressure therapy device. 公开了一种用于提供在治疗方案中使用呼吸压力疗法装置的依从性预测的系统和方法。该系统包括呼吸压力疗法装置，该呼吸压力疗法装置具有发送器和空气控制装置以向患者提供呼吸疗法。该呼吸压力疗法装置收集操作数据并且传送所收集的操作数据。收集患者的人口统计数据。基于将操作数据和人口统计数据输入到具有依从性预测输出的机器学习依从性预测模型来确定对治疗方案的预测依从性。根据使用呼吸压力疗法装置的患者群体的操作数据和人口统计数据来训练机器学习模型。