Abstract: Methods, systems, and media for modifying the presentation of video content on a user device based on a consumption mode of the user device are provided. In some embodiments, a computer-implemented method comprises: receiving, from a user device, a request to present a video content item, wherein the video content item includes an audio portion; identifying a segment of the audio portion as including a particular type of audio content (e.g., silent content, music content, speech content, theatrical content, non-musical content, etc.); determining a consumption mode associated with the user device; generating a modified video content item based on the consumption mode associated with the user device by removing a portion of the video content item that corresponds to the segment of the audio portion identified as including the particular type of audio content; and causing the modified video content item to be presented on the user device.

Abstract: To better understand the impact that meals have on the blood glucose level, some individuals with diabetes have begun recording meals consumed over time. However, the relationship between meals consumed by an individual and the glycemic health state of the individual has been difficult to understand. Introduced here are computer programs and associated computer-implemented techniques for utilizing information regarding the meals consumed by an individual to manage the blood glucose level of the individual in a personalized manner. By consistently and properly attributing physiological responses represented as excursions in blood glucose measurements to meals, the relationship between these meals and the glycemic health state can be better understood. For example, by examining this relationship, a diabetes management platform may be able to identify appropriate recommendations for monitoring, managing, and/or improving the glycemic health state of an individual.

Abstract: To better understand the impact of glycemic events, some entities have begun examining the relationship between the blood glucose level and another physiological parameter. However, this relationship can be difficult to understand. Introduced here are computer programs and associated computer-implemented techniques for discovering glycemic events in a series of data values representative of blood glucose measurements and then altering the measurement schedule of a sensor capable of generating measurements in a dimension other than blood glucose based on the glycemic events. By altering the measurement schedule of the sensor, a diabetes management platform can better understand how, if at all, dimensions other than blood glucose are related to the glycemic health state of a subject whose blood glucose level is being monitored.

Abstract: Methods, systems, and media for modifying the presentation of video content on a user device based on a consumption mode of the user device are provided. In some embodiments, a computer-implemented method comprises: receiving, from a user device, a request to present a video content item, wherein the video content item includes an audio portion; identifying a segment of the audio portion as including a particular type of audio content (e.g., silent content, music content, speech content, theatrical content, non-musical content, etc.); determining a consumption mode associated with the user device; generating a modified video content item based on the consumption mode associated with the user device by removing a portion of the video content item that corresponds to the segment of the audio portion identified as including the particular type of audio content; and causing the modified video content item to be presented on the user device.

Abstract: Methods, systems, and media for modifying the presentation of video content on a user device based on a consumption mode of the user device are provided. In some embodiments, a computer-implemented method comprises: receiving, from a user device, a request to present a video content item, wherein the video content item includes an audio portion; identifying a segment of the audio portion as including a particular type of audio content (e.g., silent content, music content, speech content, theatrical content, non-musical content, etc.); determining a consumption mode associated with the user device; generating a modified video content item based on the consumption mode associated with the user device by removing a portion of the video content item that corresponds to the segment of the audio portion identified as including the particular type of audio content; and causing the modified video content item to be presented on the user device.

Abstract: Introduced here are diabetes management platforms able to impute blood glucose level values for a subject whose glycemic health state is being monitored. These imputed values can be used to estimate the glycemic health state of the subject at a given point in time, identify appropriate recommendations for improving the glycemic health state, etc. More specifically, a diabetes management platform can initially acquire one or more explicit data values generated by a glucose monitoring device. The diabetes management platform can then design a statistical model for imputing data values based on the one or more explicit data values. The diabetes management platform may employ several different computational techniques for performing imputation.

Abstract: Introduced here are diabetes management platforms able to make annotations to physiological data of a subject whose glycemic health state is being monitored. These annotations can be used to classify excursions detected in the physiological data to facilitate the identification of a therapeutic behavior change intended to improve the glycemic health state of the subject. For example, a health coach may review the annotation(s) associated with the subject before generating a recommendation for improving the glycemic health state. As another example, the diabetes management platform can automatically identify an appropriate recommendation based on the annotation(s).

Abstract: Methods, systems, and media for modifying the presentation of video content on a user device based on a consumption mode of the user device are provided. In some embodiments, a computer-implemented method comprises: receiving, from a user device, a request to present a video content item, wherein the video content item includes an audio portion; identifying a segment of the audio portion as including a particular type of audio content (e.g., silent content, music content, speech content, theatrical content, non-musical content, etc.); determining a consumption mode associated with the user device; generating a modified video content item based on the consumption mode associated with the user device by removing a portion of the video content item that corresponds to the segment of the audio portion identified as including the particular type of audio content; and causing the modified video content item to be presented on the user device.

Abstract: Methods, systems, and media for modifying the presentation of video content on a user device based on a consumption mode of the user device are provided. In some embodiments, a computer-implemented method comprises: receiving, from a user device, a request to present a video content item, wherein the video content item includes an audio portion; identifying a segment of the audio portion as including a particular type of audio content (e.g., silent content, music content, speech content, theatrical content, non-musical content, etc.); determining a consumption mode associated with the user device; generating a modified video content item based on the consumption mode associated with the user device by removing a portion of the video content item that corresponds to the segment of the audio portion identified as including the particular type of audio content; and causing the modified video content item to be presented on the user device.

Abstract: To better understand the impact that meals have on the blood glucose level, some individuals with diabetes have begun recording meals consumed over time. However, the relationship between meals consumed by an individual and the glycemic health state of the individual has been difficult to understand. Introduced here are computer programs and associated computer-implemented techniques for utilizing information regarding the meals consumed by an individual to manage the blood glucose level of the individual in a personalized manner. By consistently and properly attributing physiological responses represented as excursions in blood glucose measurements to meals, the relationship between these meals and the glycemic health state can be better understood. For example, by examining this relationship, a diabetes management platform may be able to identify appropriate recommendations for monitoring, managing, and/or improving the glycemic health state of an individual.

Abstract: To better understand the impact of glycemic events, some entities have begun examining the relationship between the blood glucose level and another physiological parameter. However, this relationship can be difficult to understand. Introduced here are computer programs and associated computer-implemented techniques for discovering glycemic events in a series of data values representative of blood glucose measurements and then altering the measurement schedule of a sensor capable of generating measurements in a dimension other than blood glucose based on the glycemic events. By altering the measurement schedule of the sensor, a diabetes management platform can better understand how, if at all, dimensions other than blood glucose are related to the glycemic health state of a subject whose blood glucose level is being monitored.

Abstract: Introduced here are diabetes management platforms able to examine glucose measurements associated with a subject to discover patterns indicative of similar behaviors/circumstances. More specifically, a diabetes management platform can acquire multiple data series generated by a glucose monitoring device that monitors the blood glucose level of an individual over multiple time intervals. The diabetes management platform can then apply a similarity algorithm to produce a distance measure (also referred to as a “similarity measure”) for each data series. For example, the diabetes management platform may, for each data series, perform dynamic time warping to produce a distance measure with respect to each of the other data series. The diabetes management platform can identify patterns indicative of similar behaviors/circumstances based on these distance measures.

Abstract: Introduced here are diabetes management platforms able to make annotations to physiological data of a subject whose glycemic health state is being monitored. These annotations can be used to classify excursions detected in the physiological data to facilitate the identification of a therapeutic behavior change intended to improve the glycemic health state of the subject. For example, a health coach may review the annotation(s) associated with the subject before generating a recommendation for improving the glycemic health state. As another example, the diabetes management platform can automatically identify an appropriate recommendation based on the annotation(s).

Abstract: Methods, systems, and media for modifying the presentation of video content on a user device based on a consumption mode of the user device are provided. In some embodiments, a computer-implemented method comprises: receiving, from a user device, a request to present a video content item, wherein the video content item includes an audio portion; identifying a segment of the audio portion as including a particular type of audio content (e.g., silent content, music content, speech content, theatrical content, non-musical content, etc.); determining a consumption mode associated with the user device; generating a modified video content item based on the consumption mode associated with the user device by removing a portion of the video content item that corresponds to the segment of the audio portion identified as including the particular type of audio content; and causing the modified video content item to be presented on the user device.