System and method for predicting alertness

A method includes (i) receiving data associated with a user during a sleep period; (ii) determining an alertness level of the user using a machine learning model using the received data as input; and (iii) generating a response to be communicated to the user based at least in part on the determined alertness level. Data associated with a user may be received from a respiratory therapy device configured to supply pressurized air to an airway of the user via a user interface coupled to the respiratory therapy device via a catheter, a sensor, or both the respiratory therapy device and the sensor. 一种方法包括(i)在睡眠时段期间接收与用户相关联的数据；(ii)使用将所接收的数据作为输入的机器学习模型来确定用户的警觉性水平；以及(iii)至少部分地基于所确定的警觉性水平来生成要传送给用户的响应。可以从呼吸治疗装置接收与用户相关联的数据，该呼吸治疗装置被配置为通过经由导管、传感器，或呼吸治疗装置和传感器两者联接到呼吸治疗装置的用户接口向用户的气道供应加压空气。