Abstract: The monitoring breathalyzer has an alcohol sensor, a processing unit or processor, and a screen. The processing unit determines the accuracy of the breathalyzer using the user's body as a simulator. In monitoring mode, the processing unit receives a BAC measurement from the alcohol sensor based on the breath sample provided by the user at a sample time and determines a reference point from the BAC measurement. The sample time is determined based on a time to a predetermined calibration point from a drink start time.

Abstract: The monitoring breathalyzer has an alcohol sensor, a processing unit or processor, and a screen. The processing unit determines the accuracy of the breathalyzer using the user's body as a simulator. In monitoring mode, the processing unit receives a BAC measurement from the alcohol sensor based on the breath sample provided by the user at a sample time and determines a reference point from the BAC measurement. The sample time is determined based on a time to a predetermined calibration point from a drink start time.

Abstract: Methods and systems for displaying a healthcare condition. The methods include receiving at an interface a plurality of inputs of healthcare data associated with a patient, mapping the plurality of inputs of healthcare data to a phenotype using a first ontology system, determining at least one body portion associated with the phenotype using a second ontology system representative of body portions, and generating a first interactive display of the at least one body portion associated with the phenotype.

Abstract: The monitoring breathalyzer has an alcohol sensor, a processing unit or processor, and a screen. The processing unit determines the accuracy of the breathalyzer using the user's body as a simulator. In monitoring mode, the processing unit receives a BAC measurement from the alcohol sensor based on the breath sample provided by the user at a sample time and determines a reference point from the BAC measurement. The sample time is determined based on a time to a predetermined calibration point from a drink start time.

Abstract: The monitoring breathalyzer has an alcohol sensor, a processing unit or processor, and a screen. The processing unit determines the accuracy of the breathalyzer using the user's body as a simulator. In monitoring mode, the processing unit receives a BAC measurement from the alcohol sensor based on the breath sample provided by the user at a sample time and determines a reference point from the BAC measurement. The sample time is determined based on a time to a predetermined calibration point from a drink start time.

Abstract: Systems, methods and apparatuses are described herein that employ machine learning techniques to assess a likelihood or risk that one or more patients will experience an adverse outcome, such as a decline in renal function, within one or more timeframes. The embodiments may utilize patient data relating to demographics, vital signs, diagnoses, procedures, diagnostic tests, biomarker assays, genetic tests, behaviors, and/or patient symptoms, to determine risk information, such as important predictive features and patient risk scores. And the embodiments may automatically execute patient workflows, such as providing treatment recommendations to providers and/or patients, based on determined risk scores.

Abstract: Systems, methods and apparatuses are described herein that employ machine learning techniques to assess a likelihood or risk that one or more patients will experience an adverse outcome, such as a decline in renal function, within one or more timeframes. The embodiments may utilize patient data relating to demographics, vital signs, diagnoses, procedures, diagnostic tests, biomarker assays, genetic tests, behaviors, and/or patient symptoms, to determine risk information, such as important predictive features and patient risk scores. And the embodiments may automatically execute patient workflows, such as providing treatment recommendations to providers and/or patients, based on determined risk scores.

Abstract: Systems, methods and apparatuses are described herein that employ machine learning techniques to assess a likelihood or risk that one or more patients will experience an adverse outcome, such as a decline in renal function, within one or more timeframes. The embodiments may utilize patient data relating to demographics, vital signs, diagnoses, procedures, diagnostic tests, biomarker assays, genetic tests, behaviors, and/or patient symptoms, to determine risk information, such as important predictive features and patient risk scores. And the embodiments may automatically execute patient workflows, such as providing treatment recommendations to providers and/or patients, based on determined risk scores.

Abstract: The monitoring breathalyzer has an alcohol sensor, a processing unit or processor, and a screen. The processing unit determines the accuracy of the breathalyzer using the user's body as a simulator. In monitoring mode, the processing unit receives a BAC measurement from the alcohol sensor based on the breath sample provided by the user at a sample time and determines a reference point from the BAC measurement. The sample time is determined based on a time to a predetermined calibration point from a drink start time.

Abstract: The monitoring breathalyzer has an alcohol sensor, a processing unit or processor, and a screen. The processing unit determines the accuracy of the breathalyzer using the user's body as a simulator. In monitoring mode, the processing unit receives a BAC measurement from the alcohol sensor based on the breath sample provided by the user at a sample time and determines a reference point from the BAC measurement. The sample time is determined based on a time to a predetermined calibration point from a drink start time.

Abstract: A digital television (DTV) and a method of providing a GUI using the DTV are disclosed. The method of providing a GUI in a DTV comprises: first displaying an image on a display unit provided on the DTV; receiving a display command of a first GUI; and second displaying the image and the first GUI such that a different spatial depth is formed between the image and the first GUI according to the received display command.

Abstract: The monitoring breathalyzer has an alcohol sensor, a processing unit or processor, and a screen. The processing unit determines the accuracy of the breathalyzer using the user's body as a simulator. In monitoring mode, the processing unit receives a BAC measurement from the alcohol sensor based on the breath sample provided by the user at a sample time and determines a reference point from the BAC measurement. The sample time is determined based on a time to a predetermined calibration point from a drink start time.

Abstract: The monitoring breathalyzer has an alcohol sensor, a non-volatile memory, a processing unit or processor, and a screen. The processing unit determines the accuracy of the breathalyzer using the user's body as a simulator. In monitoring mode, the processing unit receives a BAC% measurement from the alcohol sensor based on the breath sample provided by the user at a sample time and determines a reference point from the BAC% measurement. The sample time is determined based on the user's metabolism rate or based on a time to a predetermined calibration point from a drink start time.

Abstract: The monitoring breathalyzer has an alcohol sensor, a non-volatile memory, a processing unit or processor, and a screen. The processing unit determines the accuracy of the breathalyzer using the user's body as a simulator. In monitoring mode, the processing unit receives a BAC% measurement from the alcohol sensor based on the breath sample provided by the user at a sample time and determines a reference point from the BAC% measurement. The sample time is determined based on the user's metabolism rate or based on a time to a predetermined calibration point from a drink start time.

Abstract: A digital television (DTV) and a method of providing a GUI using the DTV are disclosed. The method of providing a GUI in a DTV comprises: first displaying an image on a display unit provided on the DTV; receiving a display command of a first GUI; and second displaying the image and the first GUI such that a different spatial depth is formed between the image and the first GUI according to the received display command.

Abstract: The calibrating breathalyzer comprises an alcohol sensor, a non-volatile memory, a processing unit or processor, a display and a housing to house these components. The processing unit can calibrate the breathalyzer using the user's body as a simulator based on the user's metabolism rate, type and amount of alcohol consumed by the user. The processing unit determines a sample time to receive a breath sample from the user based on a time to a predetermined calibration point from the drinking start time calculated using the user's metabolism rate and the determined maximum alcohol level. The BAC % measurement based on the user's breath sample at the sample time is used as a reference point in calibrating the breathalyzer.

Abstract: The monitoring breathalyzer has an alcohol sensor, a non-volatile memory, a processing unit or processor, a screen and a housing to house these components. The processing unit determines the accuracy of the breathalyzer using the user's body as a simulator. In monitoring mode, the processing unit receives a BAC % measurement from the alcohol sensor based on the breath sample provided by the user at a sample time to provide reference point. The sample time is determined based on the user's metabolism rate or based on a time to a predetermined calibration point from a drink start time.

Abstract: The monitoring breathalyzer has an alcohol sensor, a non-volatile memory, a processing unit or processor, a screen and a housing to house these components. The processing unit determines the accuracy of the breathalyzer using the user's body as a simulator. In monitoring mode, the processing unit receives a BAC% measurement from the alcohol sensor based on the breath sample provided by the user at a sample time to provide reference point. The sample time is determined based on the user's metabolism rate or based on a time to a predetermined calibration point from a drink start time.

Abstract: A digital television (DTV) and a method of providing a GUI using the DTV are disclosed. The method of providing a GUI in a DTV comprises: first displaying an image on a display unit provided on the DTV; receiving a display command of a first GUI; and second displaying the image and the first GUI such that a different spatial depth is formed between the image and the first GUI according to the received display command.

Abstract: The calibrating breathalyzer comprises an alcohol sensor, a non-volatile memory, a processing unit or processor, a display and a housing to house these components. The processing unit can calibrate the breathalyzer using the user's body as a simulator based on the user's metabolism rate, type and amount of alcohol consumed by the user. The processing unit determines a sample time to receive a breath sample from the user based on a time to a predetermined calibration point from the drinking start time calculated using the user's metabolism rate and the determined maximum alcohol level. The BAC % measurement based on the user's breath sample at the sample time is used as a reference point in calibrating the breathalyzer.