METHODS AND SYSTEMS FOR PREDICTING HEALTH CONDITION OF HUMAN SUBJECT
First Claim
1. A method for classifying one or more patients in one or more categories, the method comprising:
- determining, by one or more processors, a distribution of one or more physiological parameters associated with the one or more patients based on a patient dataset, wherein the one or more physiological parameters comprise at least a stroke score;
estimating, by the one or more processors, one or more parameters associated with a copula defining a joint distribution of the one or more physiological parameters; and
creating, by the one or more processors, a classifier based on the one or more parameters, wherein the classifier classifies the one or more patients in the one or more categories, wherein the one or more categories correspond to a range of the stroke score.
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Accused Products
Abstract
Disclosed are the methods and systems for classifying one or more patients in one or more categories. A distribution of one or more physiological parameters associated with the one or more patients is determined based on a patient dataset. The one or more physiological parameters correspond to at least a stroke scale score. One or more parameters associated with a copula are estimated by the one or more processors. In an embodiment, the copula defines a joint distribution of the one or more physiological parameters. A classifier is created based on the one or more parameters, wherein the classifier classifies the one or more patients in the one or more categories. The one or more categories correspond to a range of the stroke scale score.
28 Citations
20 Claims
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1. A method for classifying one or more patients in one or more categories, the method comprising:
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determining, by one or more processors, a distribution of one or more physiological parameters associated with the one or more patients based on a patient dataset, wherein the one or more physiological parameters comprise at least a stroke score; estimating, by the one or more processors, one or more parameters associated with a copula defining a joint distribution of the one or more physiological parameters; and creating, by the one or more processors, a classifier based on the one or more parameters, wherein the classifier classifies the one or more patients in the one or more categories, wherein the one or more categories correspond to a range of the stroke score. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A method for categorizing one or more patients in one or more categories, the method comprising:
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creating, by one or more processors, a classifier based on a patient dataset comprising a measure of one or more physiological parameters of the one or more patients, wherein the one or more physiological parameters comprise at least a measure of a stroke score; and classifying, by the one or more processors, the one or more patients in the one or more categories based on the classifier, wherein the one or more categories correspond to a range of the stroke score. - View Dependent Claims (8, 9, 10, 11, 12)
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13. A system for classifying one or more patients in one or more categories, the system comprising:
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one or more processors configured to; determine a distribution of one or more physiological parameters associated with the one or more patients based on a patient dataset, wherein the one or more physiological parameters comprise at least a stroke score; estimate one or more parameters associated with a copula defining a joint distribution of the one or more physiological parameters; and create a classifier based on the one or more parameters, wherein the classifier classifies the one or more patients in the one or more categories, wherein the one or more categories correspond to a range of the stroke score. - View Dependent Claims (14, 15, 16, 17)
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18. A computer program product for use with a computing device, the computer program product comprising a non-transitory computer readable medium, the non-transitory computer readable medium stores a computer program code for classifying one or more patients in one or more categories, the computer program code is executable by one or more processors in the computing device to:
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determine a distribution of one or more physiological parameters associated with the one or more patients based on a patient dataset, wherein the one or more physiological parameters comprise at least a stroke score; estimate one or more parameters associated with a copula defining a joint distribution of the one or more physiological parameters; and create a classifier based on the one or more parameters, wherein the classifier classifies the one or more patients in the one or more categories, wherein the one or more categories correspond to a range of the stroke score. - View Dependent Claims (19, 20)
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Specification