Abstract: This disclosure relates to selective data generation, transmission and processing in customized healthcare services. In some aspects, a method includes determining one or more conditions for collecting a user's health data to assess the user's health status; determining that the one or more conditions are satisfies based on a first set of data from a first set of devices; in response to determining that the one or more conditions are satisfied, activating a second set of devices configured to monitor and collect the user's health data; receiving a second set of data from the second set of devices; assessing the user's health status using a machine learning model based on the first set of data and the second set of data; and generating and outputting for display a report including assessment results of the user's health status.

Abstract: This disclosure relates to selective data generation, transmission and processing in customized healthcare services. In some aspects, a method includes determining one or more conditions for collecting a user's health data to assess the user's health status; determining that the one or more conditions are satisfies based on a first set of data from a first set of devices; in response to determining that the one or more conditions are satisfied, activating a second set of devices configured to monitor and collect the user's health data; receiving a second set of data from the second set of devices; assessing the user's health status using a machine learning model based on the first set of data and the second set of data; and generating and outputting for display a report including assessment results of the user's health status.

Abstract: This disclosure relates to selective data generation, transmission and processing in customized healthcare services. In some aspects, a method includes determining one or more conditions for collecting a user's health data to assess the user's health status; determining that the one or more conditions are satisfies based on a first set of data from a first set of devices; in response to determining that the one or more conditions are satisfied, activating a second set of devices configured to monitor and collect the user's health data; receiving a second set of data from the second set of devices; assessing the user's health status using a machine learning model based on the first set of data and the second set of data; and generating and outputting for display a report including assessment results of the user's health status.