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US 2019/0295691 A1Published application
Hyperparameter tuning to enhance predictions
AssigneeChromocare, LLC
InventorsJeff Garshon, Jodie Fortine, James Fuller
Life of this patent
Estimating the term…
Abstract
The subject disclosure relates to employing grouping and selection components to facilitate a determination of output data based on a set of scoring requirements. In an example, a method comprises retrieving, by a system operatively coupled to a processor, a set of genetic data from one or more device capable of analyzing genetic material. In another instance, the method includes identifying, by the system, a first subset of genetic data representing a star allele that corresponds to a set of phenotypic traits. In yet another aspect, the method can include generating, by the system, a set of output data based on correlations between the first subset of genetic data, clinical data and guidance data.
Claims8
A system comprising:
- a memory that stores computer executable components;
- a processor that executes the computer executable components stored in the memory, wherein the computer executable components comprise:
- a transmission component configured to retrieve a set of genetic data from one or more device capable of analyzing genetic material;
- an identification component configured to identify a first subset of genetic data representing a star allele that corresponds to a set of phenotypic traits;
- a first generation component configured to generate a set of output data based on correlations between the first subset of genetic data, clinical data and guidance data;
- a scoring component that assigns a score to respective subsets of output data based on a set of scoring requirements;
- and
- a first determination component that determines a target subset of output data of the subsets of output data to present at a user interface of a device based on the target subset of output data being greater than a threshold score, and wherein the target subset of output data represents information corresponding to an absorption, metabolization, or elimination reaction of a medication in association with the first subset of genetic data.
5 more elements
A system comprising:
- a memory that stores computer executable components;
- a processor that executes the computer executable components stored in the memory, wherein the computer executable components comprise:
- a second generation component configured to generate a set of pharmacogenetics data based on a coupling of a set of identification data to a set of client data;
- and
- a summarization component configured to summarize the set of pharmacogenetics data for presentation at a user interface.
2 more elements
A system comprising:
- a memory that stores computer executable components;
- a processor that executes the computer executable components stored in the memory, wherein the computer executable components comprise:
- a third generation component configured to generate assay data corresponding to a group of biomarkers representing pharmacogenetic factors that indicate addiction susceptibility;
- a second determination component configured to determine a risk score based on the generated assay data based on a set of weighting factors;
- and
- a prediction component configured to predict a likelihood of addiction based on the risk score.
3 more elements
A system comprising:
- a memory that stores computer executable components;
- a processor that executes the computer executable components stored in the memory, wherein the computer executable components comprise:
- an analysis component configured to evaluate a set of employer expenditure data;
- a matching component configured to match the employer expenditure data to a set of pharmacogenetic data;
- and
- an impact analysis component configured to determine an impact of pharmacogenetic treatment data on the employer expenditure data.
3 more elements
A computer-implemented method, comprising:
- retrieving, by a system operatively coupled to a processor, a set of genetic data from one or more device capable of analyzing genetic material;
- identifying, by the system, a first subset of genetic data representing a star allele that corresponds to a set of phenotypic traits;
- generate, by the system, a set of output data based on correlations between the first subset of genetic data, clinical data and guidance data;
- assigning, by the system, a score to respective subsets of output data based on a set of scoring requirements;
- and
- determining, by the system, a target subset of output data of the subsets of output data to present at a user interface of a device based on the target subset of output data being greater than a threshold score, and wherein the target subset of output data represents information corresponding to an absorption, metabolization, or elimination reaction of a medication in association with the first subset of genetic data.
3 more elements
A computer-implemented method, comprising:
- generating, by a system operatively coupled to a processor a set of pharmacogenetics data based on a coupling of a set of identification data to a set of client data;
- and
- summarizing, by the system, the set of pharmacogenetics data for presentation at a user interface.
A computer-implemented method, comprising:
- generating, by a system operatively coupled to a processor, assay data corresponding to a group of biomarkers representing pharmacogenetic factors that indicate addiction susceptibility;
- determining, by the system, a risk score based on the generated assay data based on a set of weighting factors;
- and
- predicting, by the system, a likelihood of addiction based on the risk score.
1 more element
A computer-implemented method, comprising:
- evaluating, by a system operatively coupled to a processor, a set of employer expenditure data;
- matching, by the system, the employer expenditure data to a set of pharmacogenetic data;
- and
- determining, by the system, an impact of pharmacogenetic treatment data on the employer expenditure data.
1 more element
Dependencies are inferred from the claim text.