OPTIMIZING CLUSTER BASED COHORTS TO SUPPORT ADVANCED ANALYTICS
First Claim
1. A computer implemented method for selecting subjects for treatment study cohort groups, the computer implemented method comprising:
- identifying a set of selected dimensions for optimizing selection of subjects for a treatment cohort group and a control cohort group associated with a treatment study;
clustering attribute data associated with subjects in a pool of available subjects at an atomic level to form clustered cohort data;
selecting a set of optimized subjects from the pool of available subjects using the clustered cohort data and the set of selected dimensions, wherein subjects in the set of optimized subjects are optimized across the set of selected dimensions; and
assigning each subject in the set of optimized subjects to the treatment cohort group or the control cohort group, wherein the each subject in the set of optimized subjects is assigned to the treatment cohort group or the control cohort group to minimize differences between the subjects in the treatment cohort group and the subjects in the control cohort group.
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Abstract
A computer implemented method, apparatus, and computer program product is provided for selecting subjects for treatment study cohorts. A set of selected dimensions for optimizing selection of subjects for a treatment cohort group and a control cohort group associated with a treatment study is identified. Attribute data associated with subjects in the pool of available subjects is clustered at the atomic level to form clustered cohort data. A set of optimized subjects from a pool of available subjects is selected using the clustered cohort data and the set of selected dimensions. Subjects in the set of optimized subjects are optimized across the set of selected dimensions. Each subject in the set of optimized subjects is assigned to the treatment cohort group or the control cohort group.
40 Citations
25 Claims
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1. A computer implemented method for selecting subjects for treatment study cohort groups, the computer implemented method comprising:
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identifying a set of selected dimensions for optimizing selection of subjects for a treatment cohort group and a control cohort group associated with a treatment study; clustering attribute data associated with subjects in a pool of available subjects at an atomic level to form clustered cohort data; selecting a set of optimized subjects from the pool of available subjects using the clustered cohort data and the set of selected dimensions, wherein subjects in the set of optimized subjects are optimized across the set of selected dimensions; and assigning each subject in the set of optimized subjects to the treatment cohort group or the control cohort group, wherein the each subject in the set of optimized subjects is assigned to the treatment cohort group or the control cohort group to minimize differences between the subjects in the treatment cohort group and the subjects in the control cohort group. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A computer program product for selecting subjects for treatment study cohort groups, the computer program product comprising:
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a computer-readable medium; program code stored on the computer-readable medium for identifying a set of selected dimensions for optimizing selection of subjects for a treatment cohort group and a control cohort group associated with a treatment study; program code stored on the computer-readable medium for clustering attribute data associated with subjects in a pool of available subjects at an atomic level to form clustered cohort data; program code stored on the computer-readable medium for selecting a set of optimized subjects from the pool of available subjects using the clustered cohort data and the set of selected dimensions, wherein subjects in the set of optimized subjects are optimized across the set of selected dimensions; and program code stored on the computer-readable medium for assigning each subject in the set of optimized subjects to the treatment cohort group or the control cohort group, wherein the each subject in the set of optimized subjects is assigned to the treatment cohort group or the control cohort group to minimize differences between the subjects in the treatment cohort group and the subjects in the control cohort group. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18)
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19. An apparatus comprising:
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a bus system; a communications system coupled to the bus system; a memory connected to the bus system, wherein the memory includes computer usable program code; and a processing unit coupled to the bus system, wherein the processing unit executes the computer-usable program code to identify a set of selected dimensions for optimizing selection of subjects for a treatment cohort group and a control cohort group associated with a treatment study;
cluster attribute data associated with subjects in a pool of available subjects at an atomic level to form clustered cohort data;
select a set of optimized subjects from the pool of available subjects using the clustered cohort data and the set of selected dimensions; and
assign each subject in the set of optimized subjects to the treatment cohort group or the control cohort group, wherein subjects in the set of optimized subjects are optimized across the set of selected dimensions, and wherein the each subject in the set of optimized subjects is assigned to the treatment cohort group or the control cohort group to minimize differences between the subjects in the treatment cohort group and the subjects in the control cohort group. - View Dependent Claims (20, 21, 22, 23, 24, 25)
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Specification