Apparatus for health correlation assessment
First Claim
1. An apparatus for performing a probabilistic assessment for one or more Alzheimer'"'"'s disease related clinical health classifications based upon results of a contrast sensitivity eye examination test, comprising:
- an eye contrast sensitivity testing device that is configured to perform an eye contrast sensitivity test with respect to a first subject, and that is further configured to generate eye contrast sensitivity test result data, representing a result of said eye contrast sensitivity test with respect to said first subject;
a data access component for obtaining at least a portion of eye contrast sensitivity test result data from a first eye contrast sensitivity test performed by a first subject, from said eye contrast sensitivity testing device;
a health correlation assessment component that exercises a first algorithm in accordance with a correlation model, that includes exercise of a set of one or more mathematical equations that are each is applied to process said at least a portion of eye contrast sensitivity test result data of said first eye contrast sensitivity test, each of said first set of equations including a separate variable representing a numerical probability value associated with a separate probabilistic health classification, each said component outputs at least one numerical probability value representing an estimated probability of said first subject being clinically assigned into at least one of a plurality of Alzheimer'"'"'s disease related health classifications, said health classifications including at least one classification indicating a presence of an Alzheimer'"'"'s disease related abnormality within said first subject;
said first set of equations each employing a set of at least two mathematical coefficients, said coefficients each being a numerical value that is determined by exercise of a second algorithm configured for processing a repository of data in accordance with a correlation model, said repository of data including other eye contrast sensitivity test result data obtained from eye contrast sensitivity tests performed by subjects other than said first subject; and
an output component that outputs information representing said probabilistic health classifications.
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Abstract
An apparatus, system and method for performing a health correlation assessment based upon results an eye contrast sensitivity measurement test of a person. The health correlation assessment yields a predictive and probabilistic measure of the likelihood of the person appropriately assigned to a particular clinical health classification. Such an eye contrast sensitivity measurement can be used to identify people who are likely to be within a pre-Alzheimer'"'"'s disease state or within Alzheimer'"'"'s disease state of health and identify those who should seek further clinical and/or other types of testing to ascertain their actual health status and to determine an appropriate course of medical treatment.
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Citations
25 Claims
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1. An apparatus for performing a probabilistic assessment for one or more Alzheimer'"'"'s disease related clinical health classifications based upon results of a contrast sensitivity eye examination test, comprising:
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an eye contrast sensitivity testing device that is configured to perform an eye contrast sensitivity test with respect to a first subject, and that is further configured to generate eye contrast sensitivity test result data, representing a result of said eye contrast sensitivity test with respect to said first subject; a data access component for obtaining at least a portion of eye contrast sensitivity test result data from a first eye contrast sensitivity test performed by a first subject, from said eye contrast sensitivity testing device; a health correlation assessment component that exercises a first algorithm in accordance with a correlation model, that includes exercise of a set of one or more mathematical equations that are each is applied to process said at least a portion of eye contrast sensitivity test result data of said first eye contrast sensitivity test, each of said first set of equations including a separate variable representing a numerical probability value associated with a separate probabilistic health classification, each said component outputs at least one numerical probability value representing an estimated probability of said first subject being clinically assigned into at least one of a plurality of Alzheimer'"'"'s disease related health classifications, said health classifications including at least one classification indicating a presence of an Alzheimer'"'"'s disease related abnormality within said first subject; said first set of equations each employing a set of at least two mathematical coefficients, said coefficients each being a numerical value that is determined by exercise of a second algorithm configured for processing a repository of data in accordance with a correlation model, said repository of data including other eye contrast sensitivity test result data obtained from eye contrast sensitivity tests performed by subjects other than said first subject; and an output component that outputs information representing said probabilistic health classifications. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 22, 23, 24, 25)
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10. A method for performing a probabilistic assessment for one or more Alzheimer'"'"'s disease related clinical health classifications based upon results of a contrast sensitivity eye examination of a first subject, comprising the steps of:
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providing an eye contrast sensitivity testing device that is configured to perform an eye contrast sensitivity test with respect to a first subject, and that is further configured to generate eye contrast sensitivity test result data, representing a result of said eye contrast sensitivity test with respect to said first subject; obtaining at least a portion of an eye contrast sensitivity test result data for a first subject from said eye contrast sensitivity testing device; exercising a first algorithm that includes exercise of a set of one or more mathematical equations, via a computer, circuitry, or one or more processors, that is applied to process said at least a portion of eye contrast sensitivity test result data, said first algorithm configured for determining a set of one or more probabilistic health classifications for said first subject, each of said equations including a separate variable representing a numerical probability value associated with a separate probabilistic health classification, each said numerical probability value representing an estimated probability of said first subject being clinically assigned into at least one Alzheimer'"'"'s disease related clinical health classification, in accordance with a clinical evaluation of said first subject; said first set of equations employing a set of at least two mathematical coefficients, said coefficients each being a numerical value that is determined by exercise of a second algorithm configured for processing a repository of data in accordance with a correlation model, said repository of data including eye contrast sensitivity test result data obtained from eye contrast sensitivity tests performed by subjects other than said first subject; and providing information representing said probabilistic health classifications. - View Dependent Claims (11, 12, 13, 14, 15)
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16. An system for performing an probabilistic assessment for one or more Alzheimer'"'"'s disease related health classifications based upon results of a contrast sensitivity eye examination, comprising:
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an eye contrast sensitivity testing device that is configured to perform an eye contrast sensitivity test with respect to a first subject, and that is further configured to generate eye contrast sensitivity test result data, representing a result of said eye contrast sensitivity test with respect to said first subject; a data access component for obtaining at least a portion of a result of a contrast sensitivity test for a first subject, from said eye contrast sensitivity testing device; a health correlation assessment procedure (HCAP) component that exercises a first algorithm, in accordance with a first correlation model, and that includes exercise of a set of one or more mathematical equations that are each applied to process at least a portion of a result of said eye contrast sensitivity test for said first subject, each of said equations including a separate variable representing a numerical probability value associated with a separate probabilistic health classification, each said numerical probability value representing an estimated probability of said first subject being clinically assigned into at least one Alzheimer'"'"'s disease related health classification, based upon a clinical evaluation of said first subject; said first set of equations each employing a set of at least two mathematical coefficients, said coefficients each being a numerical value that is determined by exercise of a second algorithm configured for processing a repository of data in accordance with a correlation model, said repository of data including eye contrast sensitivity test result data obtained from eye contrast sensitivity tests performed by subjects other than said first subject; and an output component that outputs information representing said probabilistic health classification. - View Dependent Claims (17, 18, 19, 20, 21)
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Specification