Abstract: A sleep application running on a computing platform such as a server utilizes sleep data from a remote system that monitors a user's sleep behaviors and transforms the data to populate graphs of sleep sessions over various calendar periods (e.g., by week, by month) and render them on a user interface (UI) that is exposed to remote devices such as personal computers (PCs), tablets, multimedia consoles, and smartphones over a network. The sleep sessions are optimized for visibility on the remote devices by dynamically adjusting the range of the time axis of a graph so that a maximum number of sleep sessions over a calendar period may be graphed continuously over the range without breaks (which can impair visibility and reduce comprehension).

Abstract: In example embodiments, a machine receives, from a computing device of a health professional, a treatment plan for a patient. The machine receives, from a plurality of devices associated with the patient, activity data related to the patient. The machine determines that the activity data is related to compliance with the treatment plan. The machine provides, in response to determining that the activity data is related to compliance with the treatment plan, the activity data to the computing device of the health professional.

Abstract: In example embodiments, a machine receives, at a server and from a computing device of a health professional, a treatment plan for a patient, the treatment plan comprising a plurality of tasks and a physiological goal. The machine receives, from a plurality of devices associated with the patient, activity data and physiological data related to the patient. The machine determines, based on the activity data and the physiological data, the patient's compliance with one or more tasks in the treatment plan. The machine updates the treatment plan based on the patient's compliance with the one or more tasks, the physiological goal, and a model based on an information tuple about the patient.

Abstract: A sleep application running on a computing platform such as a server utilizes sleep data from a remote system that monitors a user's sleep behaviors and transforms the data to populate graphs of sleep sessions over various calendar periods (e.g., by week, by month) and render them on a user interface (UI) that is exposed to remote devices such as personal computers (PCs), tablets, multimedia consoles, and smartphones over a network. The sleep sessions are optimized for visibility on the remote devices by dynamically adjusting the range of the time axis of a graph so that a maximum number of sleep sessions over a calendar period may be graphed continuously over the range without breaks (which can impair visibility and reduce comprehension).