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US 2021/0202102 A1Published application
Determining and modeling the efficacy of drug treatment plans
Assigneehc1.com Inc.
InventorsBradley A. Bostic, Charles J. Clarke, Ryan C. Kennedy, Peter J. Plantes, Charles David Girard, JR.
Life of this patent
Estimating the term…
Abstract
Systems and methods are provided for simulating patient risk using patient data relating to a plurality of patients received from patient data providers, determining relationships among the data, receiving simulation instructions that are indicative of one or more drug treatment plans, and using a machine learning module to simulate the one or more drug treatment plans and evaluate the efficacy of the plans.
Claims20
A method for identifying patient risk, the method comprising:
- ingesting patient data relating to a plurality of patients received from at least one of a plurality of patient data providers;
- importing the ingested data into at least one data matrix,
- determining one or more relationships between the ingested patient data relating to a plurality of patients and previously ingested patient data, wherein at least one new enriched data set is created based on the determined one or more relationships;
- importing the enriched data set into a machine learning module;
- performing data mining on the enriched data set, using the machine learning module, to determine if a patient within the plurality of patients has a risk of developing a specified clinical indication.
2 more elements
A method for simulating patient risk, the method comprising:
- ingesting patient data relating to a plurality of patients received from at least one of a plurality of patient data providers;
- importing the ingested data into at least one data matrix,
- determining one or more relationships between the ingested patient data relating to a plurality of patients and previously ingested patient data, wherein at least one new enriched data set is created based on the determined one or more relationships;
- importing the enriched data set into a machine learning module;
- receiving simulation instructions, wherein the simulation instructions are indicative of one or more drug treatment plans;
- using the machine learning module to simulate the one or more drug treatment plans;
- and
- evaluating the efficacy of the one or more simulated drug treatment plans.
5 more elements
Dependencies are inferred from the claim text.