Methods and apparatus, including computer program products, are provided for processing analyte data. In some example implementations, a method may include generating glucose sensor data indicative of a host's glucose concentration using a glucose sensor; calculating a glycemic variability index (GVI) value based on the glucose sensor data; and providing output to a user responsive to the calculated glycemic variability index value. The GVI may be a ratio of a length of a line representative of the sensor data and an ideal length of the line. Related systems, methods, and articles of manufacture are also disclosed.

Methods and apparatus, including computer program products, are provided for processing analyte data. In some example implementations, a method may include generating glucose sensor data indicative of a host's glucose concentration using a glucose sensor; calculating a glycemic variability index (GVI) value based on the glucose sensor data; and providing output to a user responsive to the calculated glycemic variability index value. The GVI may be a ratio of a length of a line representative of the sensor data and an ideal length of the line. Related systems, methods, and articles of manufacture are also disclosed.

A data processing system and related method. The system comprises an input interface for receiving data to be data-mined for a target. A categorizer configured to compute one or more category operators suitable to categorize said data. The computing by the categorizer of the category operators includes computing a metric. The system further includes an output interface for outputting the so computed one or more category operators.

A data processing system and related method. The system comprises an input interface for receiving data to be data-mined for a target. A categorizer configured to compute one or more category operators suitable to categorize said data. The computing by the categorizer of the category operators includes computing a metric. The system further includes an output interface for outputting the so computed one or more category operators.

Systems and methods for providing assistance to a surgeon during an implant surgery are disclosed. A method includes defining areas of interest in diagnostic data of a patient and defining a screw bone type based on the surgeon's input. Post defining the areas of interest, salient points are determined for the areas of interest. Successively, an XZ angle, an XY angle, and a position entry point for a screw are determined based on the salient points of the areas of interest. Successively, a maximum screw diameter and a length of the screw are determined based on the salient points. Thereafter, the screw is identified and suggested to the surgeon for usage during the implant surgery.

Systems, methods, and computer-readable media for simulating the course of an event or for collecting data for the simulation are provided. A processing unit can receive attributes of synthetic populations and corresponding forecasts of progress of an event, e.g., an epidemic. The processing unit can determine a disease model based on the forecasts and historical data of the event. The disease model can be associated with at least one attribute of each of the synthetic populations. The processing unit can determine a forecast of the progress of the event based on the received forecasts and weights associated with user accounts. In some examples, the processing unit can receive the attributes, present via a user interface a plurality of candidate forecasts of an epidemic, and receive via the user interface a forecast, e.g., rankings or data, of the epidemic with respect to the synthetic population indicated by the attributes.

This disclosure describes systems, devices, and techniques for identifying sections of medical documents that are suitable for automated medical coding. In one example, a computer-implemented method includes receiving, by one or more processors, the medical document, wherein the medical document comprises a plurality of sections. The method also may include determining, by the one or more processors and via application of a classification model to each section of the plurality of sections, codability indicia for each section of the plurality of sections, wherein the codability indicia represents whether the respective section is suitable for automated medical coding. The method may include outputting, by the one or more processors, the respective codability indicia for each section of the plurality of sections.

An external defibrillator system is provided. The system includes: a graphical display; one or more sensors for obtaining data regarding chest compressions performed on a patient; and a controller configured to display on the graphical display numeric values for depth and/or rate of the chest compressions based upon the data from the one or more sensors. A method for using an external defibrillator including the steps of: obtaining data regarding chest compressions performed on a patient; and displaying on a graphical display screen of the defibrillator numeric values for depth and/or rate of the chest compressions based upon the data is also provided.

A system and method of testing, recording, tracking, and verifying the health of an individual to other persons while providing confidence that the individual user has taken and reported to at least one medical measurement, and this measurement has been identified as normal or not normal to the specific individual user, is provided. A medical instrument which is self-administered by the said individual user and a Green Screen Health Verification System (GS-HVS) server are provided. Software that contains prearranged decisions and protocols to provide guidance to said individual user and to an individual user's supervisor and records any abnormal reporting from said individual user and provides alerts based on said protocol. Software returns guidance from said GS-HVS server to said individual user, and upon said GS-HVS indicting that said individual user has good health, software displays a good health status or “Green Screen” on said individual user's said mobile device.

A system and method of testing, recording, tracking, and verifying the health of an individual to other persons while providing confidence that the individual user has taken and reported to at least one medical measurement, and this measurement has been identified as normal or not normal to the specific individual user, is provided. A medical instrument which is self-administered by the said individual user and a Green Screen Health Verification System (GS-HVS) server are provided. Software that contains prearranged decisions and protocols to provide guidance to said individual user and to an individual user's supervisor and records any abnormal reporting from said individual user and provides alerts based on said protocol. Software returns guidance from said GS-HVS server to said individual user, and upon said GS-HVS indicting that said individual user has good health, software displays a good health status or “Green Screen” on said individual user's said mobile device.