Abstract: Technologies are described for wearable sensor devices and associated analytic systems. Patient data may be collected from the wearable sensors, instruments, caregivers, or from other such devices. The wearable sensor devices may be calibrated according to the collected patient data. The collected data may be calibrated, normalized, and analyzed to generate and track health scores associated the patient. The wearable sensor devices may be leveraged to refine athletic performance, training, and strategy. The wearable sensor devices may be leveraged to predict and detect adverse health events.

Abstract: Technologies are described for wearable sensor devices and associated analytic systems. Patient data may be collected from the wearable sensors, instruments, caregivers, or from other such devices. The wearable sensor devices may be calibrated according to the collected patient data. The collected data may be calibrated, normalized, and analyzed to generate and track health scores associated the patient. The wearable sensor devices may be leveraged to refine athletic performance, training, and strategy. The wearable sensor devices may be leveraged to predict and detect adverse health events.

Abstract: Technologies are described for wearable sensor devices and associated analytic systems. Patient data may be collected from the wearable sensors, instruments, caregivers, or from other such devices. The wearable sensor devices may be calibrated according to the collected patient data. The collected data may be calibrated, normalized, and analyzed to generate and track health scores associated the patient. The wearable sensor devices may be leveraged to refine athletic performance, training, and strategy. The wearable sensor devices may be leveraged to predict and detect adverse health events.

Abstract: Systems and methods can support adaptive self-assessment for automated health scoring. Medical data associated with a patient may be collected. Health queries may be issued to the patient. The patient can provide self-assessment data in response to the queries. A health score for the patient may be computed as a function of at least a portion of the received medical data and at least a portion of the self-assessment data. The health score may be visualized in one or more graphs. The health score may be transmitted to one or more caregivers. Medical alerts and patient recommendation may be generated in response to the health score. Content and frequency of future health queries may be adapted in response to the health score and in response to complimentary evaluation from one or more caregivers.

Abstract: A system and method for providing an indicator of a patient's health. The system may include a data module receiving data relating to a patient's health, the data including subjective data, a conversion module generating an output from the data, the output representing the patient's health, and a display module displaying the output and a standard output for a user to compare with the output. A method of providing a customizable system for generating an indicator of a patient's health, the method including providing a system including a data module, a conversion module generating an output via a first algorithm, and a display module displaying the output and a standard output generated by a second algorithm, and customizing at least one of the first and second algorithms according to preferences of a user.

Abstract: Methods of assessing risk based on medical data are disclosed herein. In an embodiment, a method of assessing risk associated with medical data includes creating a dataset representing a plurality of patients, the dataset comprising (x,y) pairs for each patient, wherein x represents the medical data collected at a first time, and wherein y is an outcome measurement collected at a second time; binning the (x,y) pairs to form a plurality of binned data sets; computing an average value for x and an average value for y for each binned data set; determining a minimum average value of y based on all of the average values of y; subtracting the minimum average value of y from each average value of y to get a new average value of y for each binned data set; and deriving a function for assessing risk associated with the medical data.

Abstract: A system and method for providing an indicator of a patient's health. The system may include a data module receiving data relating to a patient's health, the data including subjective data, a conversion module generating an output from the data, the output representing the patient's health, and a display module displaying the output and a standard output for a user to compare with the output. A method of providing a customizable system for generating an indicator of a patient's health, the method including providing a system including a data module, a conversion module generating an output via a first algorithm, and a display module displaying the output and a standard output generated by a second algorithm, and customizing at least one of the first and second algorithms according to preferences of a user.

Abstract: A system and method for providing an indicator of a patient's health. The system may include a data module receiving data relating to a patient's health, the data including subjective data, a conversion module generating an output from the data, the output representing the patient's health, and a display module displaying the output and a standard output for a user to compare with the output. A method of providing a customizable system for generating an indicator of a patient's health, the method including providing a system including a data module, a conversion module generating an output via a first algorithm, and a display module displaying the output and a standard output generated by a second algorithm, and customizing at least one of the first and second algorithms according to preferences of a user.

Abstract: Methods of assessing risk based on medical data are disclosed herein. In an embodiment, a method of assessing risk associated with medical data includes creating a dataset representing a plurality of patients, the dataset comprising (x,y) pairs for each patient, wherein x represents the medical data collected at a first time, and wherein y is an outcome measurement collected at a second time; binning the (x,y) pairs to form a plurality of binned data sets; computing an average value for x and an average value for y for each binned data set; determining a minimum average value of y based on all of the average values of y; subtracting the minimum average value of y from each average value of y to get a new average value of y for each binned data set; and deriving a function for assessing risk associated with the medical data.

Abstract: A system and method for providing an indicator of a patient's health. The system may include a data module receiving data relating to a patient's health, the data including subjective data, a conversion module generating an output from the data, the output representing the patient's health, and a display module displaying the output and a standard output for a user to compare with the output. A method of providing a customizable system for generating an indicator of a patient's health, the method including providing a system including a data module, a conversion module generating an output via a first algorithm, and a display module displaying the output and a standard output generated by a second algorithm, and customizing at least one of the first and second algorithms according to preferences of a user.