System for predicting future health
First Claim
1. A computer-based system for predicting future health of individuals comprising:
- (a) a computer comprising a processor containing a database of longitudinally-acquired biomarker values from individual members of a test population, subpopulation D of said members being identified as having acquired a specified biological condition within a specified time period or age interval and a subpopulation D being identified as not having acquired the specified biological condition within the specified time period or age interval; and
(b) a computer program that includes steps for;
(1) selecting from said biomarkers a subset of biomarkers for discriminating between members belonging to the subpopulations D and D, wherein the subset of biomarkers is selected based on distributions of the biomarker values of the individual members of the test population; and
(2) using the distributions of the selected biomarkers to develop a statistical procedure that is capable of being used for;
(i) classifying members of the test population as belonging within a subpopulation PD having a prescribed high probability of acquiring the specified biological condition within the specified time period or age interval or as belonging within a subpopulation PD having a prescribed low probability of acquiring the specified biological condition within the specified time period or age interval;
or(ii) estimating quantitatively, for a member of the test population, the probability of acquiring the specified biological condition within the specified time period or age internal;
wherein changes in said longitudinally-acquired biomarker values are used to develop said statistical procedure.
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Accused Products
Abstract
A computer-based system is disclosed for predicting future health of individuals comprising:
(a) a computer comprising a processor containing a database of longitudinally-acquired biomarker values from individual members of a test population, subpopulation D of aid members being identified as having acquired a specified biological condition within a specified time period or age interval and a subpopulation D being identified as not having acquired the specified biological condition within the specified time period or age interval; and
(b) a computer program that includes steps for:
(1) selecting from said biomarkers a subset of biomarkers for discriminating between members belonging to the subpopulations D and D, wherein the subset of biomarkers is selected based on distributions of the biomarker values of the individual members of the test population; and
(2) using the distributions of the selected biomarkers to develop a statistical procedure that is capable of being used for:
(i) classifying members of the test population as belonging within a subpopulation PD having a prescribed high probability of acquiring the specified biological condition within the specified time period or age interval or as belonging within a subpopulation PD having a prescribed low probability of acquiring the specified biological condition within the specified time period or age interval; or
(ii) estimating quantitatively, for each member of the test population, the probability of acquiring the specified biological condition within the specified time period or age interval.
242 Citations
30 Claims
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1. A computer-based system for predicting future health of individuals comprising:
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(a) a computer comprising a processor containing a database of longitudinally-acquired biomarker values from individual members of a test population, subpopulation D of said members being identified as having acquired a specified biological condition within a specified time period or age interval and a subpopulation D being identified as not having acquired the specified biological condition within the specified time period or age interval; and (b) a computer program that includes steps for; (1) selecting from said biomarkers a subset of biomarkers for discriminating between members belonging to the subpopulations D and D, wherein the subset of biomarkers is selected based on distributions of the biomarker values of the individual members of the test population; and (2) using the distributions of the selected biomarkers to develop a statistical procedure that is capable of being used for; (i) classifying members of the test population as belonging within a subpopulation PD having a prescribed high probability of acquiring the specified biological condition within the specified time period or age interval or as belonging within a subpopulation PD having a prescribed low probability of acquiring the specified biological condition within the specified time period or age interval;
or(ii) estimating quantitatively, for a member of the test population, the probability of acquiring the specified biological condition within the specified time period or age internal; wherein changes in said longitudinally-acquired biomarker values are used to develop said statistical procedure. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A method of predicting an individual'"'"'s health comprising:
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collecting a plurality of biomarker values from an individual, wherein at least one of said biomarker values is obtained by physically measuring the biomarker value; and applying a statistical procedure to said plurality of biomarker values so as; (i) to classify said individual as having a prescribed high probability of acquiring a specified biological condition within a specified time period or age interval or as having a prescribed low probability of acquiring the specified biological condition within the specified time period or age interval;
or(ii) to estimate quantitatively for said individual the probability of acquiring the specified biological condition within the specified time period or age interval; wherein said statistical procedure is based on; (1) collecting a database of longitudinally-acquired biomarker values from individual members of a test population, subpopulation D of said members being identified as having acquired the specified biological condition within the specified time period or age interval and a subpopulation D being identified as not having acquired the specified biological condition within the specified time period or age interval; (2) selecting from said biomarkers a subset of biomarkers for discriminating between members belonging to the subpopulations D and D, wherein the subset of biomarker is selected based on distributions of the biomarker values of the individual members of the test population; and (3) using the distributions of the selected biomarkers to develop said statistical procedure; wherein changes in said longitudinally-acquired biomarkers values are used to develop said statistical procedure. - View Dependent Claims (9, 10)
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11. A computer-based system for predicting an individual'"'"'s future health comprising:
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(a) a computer comprising a processor containing a plurality of biomarker values from an individual; and (b) a computer program that includes steps for applying a statistical procedure to said plurality of biomarker values so as; (i) to classify said individual as having a prescribed high probability of acquiring a specified biological condition within a specified time period or age interval or as having a prescribed low probability of acquiring the specified biological condition within the specified time period or age interval;
or(ii) to estimate quantitatively for said individual the probability of acquiring the specified biological condition within the specified time period or age interval; wherein said statistical procedure is based on; (1) collecting a database of longitudinally-acquired biomarker values from individual members of a test population, subpopulation D of said members being identified as having acquired the specified biological condition within the specified time period or age interval and a subpopulation D being identified as not having acquired the specified biological condition within the specified time period or age interval; (2) selecting from said biomarkers a subset of biomarkers for discriminating between members belonging to the subpopulations D and D, wherein the subset of biomarkers is selected based on distributions of the biomarker values of the individual members of the test population; and (3) using the distributions of the selected biomarkers to develop said statistical procedure; wherein changes in said longitudinally-acquired biomarker values are used to develop said statistical procedure. - View Dependent Claims (12, 13, 14, 15, 16)
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17. A method for assessing an individual'"'"'s future risk of death from specified underlying causes of death comprising:
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collecting a plurality of biomarker values from an individual, wherein at least one of said biomarker values is obtained by physically measuring the biomarker value; and applying a statistical procedure to said plurality of biomarker values so as to determine whether said individual is classified as having a prescribed high probability of dying, within a specified time period or age interval, from any one of the underlying causes of death that account in the aggregate for at least 60% of all deaths in a test population over the specified time period or age interval.
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18. A method for assessing an individual'"'"'s evidence of good health comprising:
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collecting a plurality of biomarker values from an individual, wherein at least one of said biomarker values is obtained by physically measuring the biomarker value; and applying a statistical procedure to said plurality of biomarker values so as to determine whether said individual is classified as having a prescribed high probability of not dying, within a specified time period or age interval, from any one of the underlying causes of death that account in the aggregate for at least 60% of all deaths in a test population over the specified time period or age interval.
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19. A computer-based system for assessing an individual'"'"'s future risk of death from a specified underlying cause of death comprising:
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(a) a computer comprising a processor containing a plurality of biomarker values from an individual; and (b) a computer program that includes steps for applying a statistical procedure to said plurality of biomarker values so as to determine whether said individual is classified as having a prescribed high probability of dying, within a specified time period or age interval, from any one of the underlying causes of death that account in the aggregate for at least 60% of all deaths in a test population over the specified time period or age interval.
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20. A computer-based system for assessing an individual'"'"'s evidence of good health comprising:
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(a) a computer comprising a processor containing a plurality of biomarker values from an individual; and (b) a computer program that includes steps for applying a statistical procedure to said plurality of biomarker values so as to determine whether said individual is classified as having a prescribed high probability of not dying, within a specified time period or age interval, from any one of the underlying causes of death that account in the aggregate for at least 60% of all deaths in a test population over the specified time period or age interval.
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21. An apparatus for assessing an individual'"'"'s risk of future health problems comprising:
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(a) a stooge device for storing a plurality of biomarker values from an individual; and (b) a processor coupled to the storage device and programmed; 1) to receive from the storage device said plurality of biomarker values; and 2) to apply a statistical procedure to said plurality of biomarker values so as; (i) to classify said individual as belonging within a subpopulation PD having a prescribed high probability of acquiring a specified biological condition within a specified time period or age interval or as belonging within a subpopulation PD having a prescribed low probability of acquiring the specified biological condition within the specified time period or age interval;
or(ii) to estimate quantitatively the probability for said individual acquiring the specified biological condition within the specified time period or age interval; wherein said statistical procedure is based on; (1) collecting a database of longitudinally-acquired biomarker values from individual members of a test population, subpopulation D of said members being identified as having acquired the specified biological condition within the specified time period or age interval and a subpopulation D being identified as not having acquired the specified biological condition within the specified time period or age interval; (2) selecting from said biomarkers a subset of biomarkers for discriminating between members belonging to the subpopulations D and D, wherein the subset of biomarkers is selected based on distributions of the biomarker values of the individual members of the test population; and (3) using the distributions of the selected biomarkers to develop said statistical procedure; wherein changes in said longitudinally-acquired biomarker values are used to develop said statistical procedure.
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22. A method of predicting an individual'"'"'s health comprising:
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collecting a plurality of biomarker values from an individual, wherein at least one of said biomarker values is obtained by physically measuring the biomarker value; and applying a multivariate statistical procedure to said plurality of biomarker values so as to provide a statistically-based quantitative probability of said individual acquiring a specified morbidity or suffering a mortality with a specified underlying cause of death within a specified time period or age interval, wherein said multivariate statistical procedure is based on comparing said individual'"'"'s plurality of biomarker values with a longitudinally-acquired database, wherein said database includes biomarker values from individual members of a test population, a subpopulation D of said members being identified as having acquired the specified morbidity or suffering the mortality with the specified underlying cause of death within the specified time period or age interval and a subpopulation D being identified as not having acquired the specified morbidity or suffering the mortality with the specified underlying cause of death within the specified time period or age interval; wherein changes in the longitudinally-acquired biomarker values to develop said statistical procedure. - View Dependent Claims (23, 24, 25, 26, 27, 28)
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29. A computer-based system for predicting the future health of individuals comprising:
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(a) a computer comprising a processor containing; (i) a plurality of biomarker values from an individual; and (ii) a longitudinally-acquired database, wherein said database includes biomarker values from individual members of a test population, subpopulation D of said members being identified as having acquired a specified morbidity or suffering a mortality with a specified underlying cause of death within a specified time period or age interval and a subpopulation D being identified as not having acquired the specified morbidity or suffering a mortality with the specified underlying cause of death within the specified time period or age interval; and (b) a computer program that includes steps for applying a multivariate statistical procedure to compare said individual'"'"'s plurality of biomarker values with said longitudinally-acquired database so as to provide a statistically-based quantitative probability for said individual acquiring the specified morbidity or suffering a mortality with the specified underlying cause of death within the specified time period or age interval; wherein changes in the longitudinally-acquired biomarker values are used to develop said statistical procedure.
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30. An apparatus for assessing an individuals'"'"'s an risk off future health problems comprising:
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(a) a storage device for storing a plurality of biomarker values from an individual; and (b) a processor coupled to said storage device, said processor being programmed to receive from said storage device said plurality of biomarker values and apply a multivariate statistical procedure comparing said plurality of biomarker values with a longitudinally-acquired database, wherein said database includes biomarker values from individual members of a test population, subpopulation D of said members being identified as having acquired a specified morbidity or suffering a mortality with a specified underlying cause of death within a specified time period or age interval, and a subpopulation D being identified as not having acquired the specified morbidity or suffering a mortality with the specified underlying cause of death within the specified time period or age interval, so as to provide a statistically-based quantitative probability for said individual acquiring the specified morbidity or suffering a mortality with the specified underlying cause of death within the specified time period or age interval; wherein changes in the longitudinally-acquired biomarker values are used to develop said statistical procedure.
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Specification