Abstract: A method (100) for identifying time series data using a time series retrieval system (800), comprising: receiving (120) a plurality of time series, each time series comprising a plurality of datapoints, wherein a least some of the plurality of times series comprise datapoints obtained at irregular time intervals within the time period; storing (130) the received plurality of time series in a database; generate (140) a context vector for each of the plurality of time series; receiving (150) a request for identification of one or more of the plurality of time series based on similarity to a time series query; identifying (160), based on similarity to the query time series context vector, one or more of the stored generated context vectors; retrieving (170) each time series associated with the identified one or more stored generated context vectors; and providing (180) the retrieved time series.

Abstract: Systems, devices, and methods are provided for removing carbon dioxide from a target fluid, such as, for example, blood, to treat hypercarbic respiratory failure or another condition. A device is provided including first and second membrane components for removing dissolved gaseous carbon dioxide and bicarbonate from the fluid, which can be done simultaneously. The device can be in the form of a cartridge configured for use in a dialysis system. A method of treatment is also provided, involving drawing blood from a patient and bringing the patient’s blood in contact with a first membrane component having a sweep gas passing therethrough, and a second membrane component having a dialysate passing therethrough. The dialysate’s composition can be selected such that charge neutrality is maintained.

Abstract: Systems, devices, and methods are provided for removing carbon dioxide from a target fluid, such as, for example, blood, to treat hypercarbic respiratory failure or another condition. A device is provided including first and second membrane components for removing dissolved gaseous carbon dioxide and bicarbonate from the fluid, which can be done simultaneously. The device can be in the form of a cartridge configured for use in a dialysis system. A method of treatment is also provided, involving drawing blood from a patient and bringing the patient's blood in contact with a first membrane component having a sweep gas passing therethrough, and a second membrane component having a dialysate passing therethrough. The dialysate's composition can be selected such that charge neutrality is maintained.

Abstract: The systems and methods described herein determine metrics of cardiac or vascular performance, such as cardiac output, and can use the metrics to determine appropriate levels of mechanical circulatory support to be provided to the patient. The systems and methods described determine cardiac performance by determining aortic pressure measurements (or other physiologic measurements) within a single heartbeat or across multiple heartbeats and using such measurements in conjunction with flow estimations or flow measurements made during the single heartbeat or multiple heartbeats to determine the cardiac performance, including determining the cardiac output. By utilizing a mechanical circulatory support system placed within the vasculature, the need to place a separate measurement device within a patient is reduced or eliminated. The system and methods described herein may characterize cardiac performance without altering the operation of the heart pump (e.g., without increasing or decreasing pump speed).

Abstract: A mechanism or model for shock type classification that is able to differentiate between different types of shock, e.g. among patients with suspected hemodynamic instability. Respective one-versus-rest models are used to generate a numeric value for each of a plurality of shock types, each numeric value indicating a predicted probability that a subject exhibits that particular shock type over other types. A classification process is then performed to select the most likely shock type based on the numeric values.

Abstract: The systems and methods described herein determine metrics of cardiac or vascular performance, such as cardiac output, and can use the metrics to determine appropriate levels of mechanical circulatory support to be provided to the patient. The systems and methods described determine cardiac performance by determining aortic pressure measurements (or other physiologic measurements) within a single heartbeat or across multiple heartbeats and using such measurements in conjunction with flow estimations or flow measurements made during the single heartbeat or multiple heartbeats to determine the cardiac performance, including determining the cardiac output. By utilizing a mechanical circulatory support system placed within the vasculature, the need to place a separate measurement device within a patient is reduced or eliminated. The system and methods described herein may characterize cardiac performance without altering the operation of the heart pump (e.g., without increasing or decreasing pump speed).

Abstract: The systems and methods described herein determine metrics of cardiac performance via a mechanical circulatory support device and use the cardiac performance to calibrate, control and deliver mechanical circulatory support for the heart. The systems include a controller configured to operate the device, receive inputs indicative of device operating conditions and hemodynamic parameters, and determine vascular performance, including vascular resistance and compliance, and native cardiac output. The systems and methods operate by using the mechanical circulatory support device (e.g., a heart pump) to introduce controlled perturbations of the vascular system and, in response, determine heart parameters such as stroke volume, vascular resistance and compliance, left ventricular end diastolic pressure, and ultimately determine native cardiac output.

Abstract: The systems and methods described herein determine metrics of cardiac performance via a mechanical circulatory support device and use the cardiac performance to calibrate, control and deliver mechanical circulatory support for the heart. The systems include a controller configured to operate the device, receive inputs indicative of device operating conditions and hemodynamic parameters, and determine vascular performance, including vascular resistance and compliance, and native cardiac output. The systems and methods operate by using the mechanical circulatory support device (e.g., a heart pump) to introduce controlled perturbations of the vascular system and, in response, determine heart parameters such as stroke volume, vascular resistance and compliance, left ventricular end diastolic pressure, and ultimately determine native cardiac output.

Abstract: A device, system and method for generating a prediction model for a test patient. To generate the prediction model, a multi-dimensional clinical time series for each of a plurality of training patients is collected to generate a training population. A machine learning algorithm is then trained using the training population. Measurement data corresponding to the test patient is also received, the measurement data includes a multi-dimensional clinical time series for the test patient. The test patient is not included in the plurality of training patients. The prediction model is generated for the test patient based on i) the measurement data corresponding to the test patient and ii) training the machine learning algorithm using the training population.

Abstract: A method for generating an intervention recommendation by a clinical decision support system, comprising: (i) receiving a dataset of historical patient variables for a plurality of patients; (ii) training an association model with the dataset, comprising parameterizing a policy function using K-nearest neighbors and mapping physiological states and interventions to outcomes using a Q-function critic, wherein a favorable outcome is identified as a reward; (iii) receiving a physiological state for a subject; (iv) identifying K-nearest neighbors within the dataset of historical patient variables, wherein the identification is based on similarity to the physiological states of the K-nearest neighbors; (v) identifying one or more optimal interventions from among the identified K-nearest neighbors based on a highest reward for the one or more optimal interventions; (vi) generating a report comprising a recommendation for the one or more optimal interventions.

Abstract: A method for risk analysis, comprising: (i) receiving a plurality of features about a subject; (ii) analyzing the features using risk prediction models to generate risk scores; (iii) determining, using a distillation model, mean and variance among the risk scores; (iv) generating a single risk score and a risk score confidence interval; (v) determining, based on a feature impact score for each feature, an effect of one or more missing or defective features on the generated risk score confidence interval, wherein the system identifies a missing or defective feature for reporting if that feature would narrow the generated risk score confidence interval if it were not missing or not defective; (vi) generating a report comprising the single risk score and the risk score confidence interval, and further comprising at least one or more of the identified missing or defective features; and (vii) providing the report.

Abstract: A method for performing, using a victim triage system, triage analysis of victims of an incident, comprising: (i) receiving a location of the incident, medical information, hospital capability information for hospitals in a predetermined vicinity of the location, and transport information relative to the location; (ii) determining, by a trained triage machine learning algorithm using the received information, a triage decision for the victims, wherein the triage decision for a victim comprises: (1) a probability of the victim's survival over time; (2) a recommendation to transport or not transport the victim to a hospital; and (3) to which of the two or more hospitals the victim should be transported; (iii) generating (140) a triage report comprising the determined triage decision for each of the plurality of victims; and (iv) displaying the triage report on a user display of the victim triage system.

Abstract: Systems, devices, and methods are provided for removing carbon dioxide from a target fluid, such as, for example, blood, to treat hypercarbic respiratory failure or another condition. A device is provided including first and second membrane components for removing dissolved gaseous carbon dioxide and bicarbonate from the fluid, which can be done simultaneously. The device can be in the form of a cartridge configured for use in a dialysis system. A method of treatment is also provided, involving drawing blood from a patient and bringing the patient's blood in contact with a first membrane component having a sweep gas passing therethrough, and a second membrane component having a dialysate passing therethrough. The dialysate's composition can be selected such that charge neutrality is maintained.

Abstract: The systems and methods described herein determine metrics of cardiac or vascular performance, such as cardiac output, and can use the metrics to determine appropriate levels of mechanical circulatory support to be provided to the patient. The systems and methods described determine cardiac performance by determining aortic pressure measurements (or other physiologic measurements) within a single heartbeat or across multiple heartbeats and using such measurements in conjunction with flow estimations or flow measurements made during the single heartbeat or multiple heartbeats to determine the cardiac performance, including determining the cardiac output. By utilizing a mechanical circulatory support system placed within the vasculature, the need to place a separate measurement device within a patient is reduced or eliminated. The system and methods described herein may characterize cardiac performance without altering the operation of the heart pump (e.g., without increasing or decreasing pump speed).

Abstract: The systems and methods described herein determine metrics of cardiac performance via a mechanical circulatory support device and use the cardiac performance to calibrate, control and deliver mechanical circulatory support for the heart. The systems include a controller configured to operate the device, receive inputs indicative of device operating conditions and hemodynamic parameters, and determine vascular performance, including vascular resistance and compliance, and native cardiac output. The systems and methods operate by using the mechanical circulatory support device (e.g., a heart pump) to introduce controlled perturbations of the vascular system and, in response, determine heart parameters such as stroke volume, vascular resistance and compliance, left ventricular end diastolic pressure, and ultimately determine native cardiac output.