- Document Number:
20240079142
- Appl. No:
18/269542
- Application Filed:
December 27, 2021
- نبذة مختصرة :
A method to predict health outcomes is provided. The method includes receiving data for a first population comprising data for individuals who have undergone a therapy and data for individuals in a control group who have not undergone the therapy, and identifying biomarker values for the first population. The method includes creating data for a second population based on the biomarker values, and determining a first distribution of health outcomes for individuals in the second population. The method includes determining a second distribution of health outcomes for individuals in the second population, and evaluating a quality of the therapy based on a difference between the first distribution of health outcomes and the second distribution of health outcomes. A system and a non-transitory computer readable medium storing instructions to cause the system to perform the above method are also provided.
- Claim:
1. A computer-implemented method, comprising: receiving data for a first population comprising data for multiple individuals who have undergone a therapy and data for multiple individuals in a control group who have not undergone the therapy; identifying biomarker values for the first population; creating data for a second population based on the biomarker values; determining a first distribution of health outcomes for individuals in the second population who are simulated to undergo the therapy; determining a second distribution of health outcomes for individuals in the second population who are similar to individuals in the control group of the first population; and evaluating a quality of the therapy based on a difference between the first distribution of health outcomes and the second distribution of health outcomes.
- Claim:
2. The computer-implemented method of claim 1, wherein determining a first distribution of health outcomes comprises predicting biomarker values for individuals in the second population.
- Claim:
3. The computer-implemented method of claim 1, wherein determining a first distribution of health outcomes comprises predicting biomarker values for individuals in the second population based on a socio-economic parameter associated with the first population.
- Claim:
4. The computer-implemented method of claim 1, wherein determining a first distribution of health outcomes comprises predicting biomarker values for individuals in the second population based on a therapy feature.
- Claim:
5. The computer-implemented method of claim 1, wherein determining a first distribution of health clauses comprises predicting a set of biomarker data after a selected period of time based on a genomic data from the first population of subjects.
- Claim:
6. The computer-implemented method of claim 1, wherein determining a first distribution of health outcomes comprises classifying the biomarker values based on a random forest.
- Claim:
7. The computer-implemented method of claim 1, wherein determining a first distribution of health outcomes comprises classifying the biomarker values based on deep learning.
- Claim:
8. The computer-implemented method of claim 1, further comprising selecting individuals to undergo the therapy based on the quality of the therapy.
- Claim:
9. The computer-implemented method of claim 1, wherein creating data for a second population comprises drawing a parameter from a statistical distribution of estimated biomarker values for individuals in the second population.
- Claim:
10. The computer-implemented method of claim 1, wherein creating data for a second population comprises comparing a propensity score between individuals in the first population and a second population and selecting individuals from the second population with a propensity score below a propensity caliper.
- Claim:
11. A system, comprising: one or more processors; and a memory storing multiple instructions, wherein the one or more processors execute the instructions to cause the system to perform operations, comprising: receiving data for a first population comprising data for multiple individuals who have undergone a therapy and data for multiple individuals in a control group who have not undergone the therapy; identifying biomarker values for the first population; creating data for a second population based on the biomarker values; determining a first distribution of health outcomes for individuals in the second population who are simulated to undergo the therapy; determining a second distribution of health outcomes for individuals in the second population who are similar to individuals in the control group of the first population; and evaluating a quality of the therapy based on a difference between the first distribution of health outcomes and the second distribution of health outcomes.
- Claim:
12. The system of claim 11, wherein to determine a first distribution of health outcomes the one or more processors execute instructions to predict biomarker values for individuals in the second population.
- Claim:
13. The system of claim 11, wherein to determine a first distribution of health outcomes the one or more processors execute instructions to predict biomarker values for individuals in the second population based on a socio-economic parameter associated with the first population.
- Claim:
14. The system of claim 11, wherein to determine a first distribution of health outcomes the one or more processors execute instructions to predict biomarker values after a selected period of time for individuals in the second population based on a therapy feature.
- Claim:
15. A computer-implemented method, comprising: receiving observational data associated with a medical treatment; estimating a treatment effect from the observational data; selecting one or more individuals for an intervention based on the treatment effect; and estimating an outcome of the intervention.
- Claim:
16. The computer-implemented method of claim 15, wherein the treatment effect comprises ATE or CATE.
- Claim:
17. The computer-implemented method of claim 15, wherein selecting one or more individuals for an intervention based on the treatment effect comprises selecting one or more individuals based on a CATE value.
- Claim:
18. The computer-implemented method of claim 15, wherein the intervention comprises a message sent to the one or more individuals.
- Claim:
19. The computer-implemented method of claim 15, wherein estimating the outcome of the intervention comprises forecasting adherence to the medical treatment.
- Claim:
20. The computer-implemented method of claim 15, wherein estimating the outcome of the intervention comprises estimating the outcome of the intervention based on a randomized experiment.
- Current International Class:
16; 16; 16; 16
- الرقم المعرف:
edspap.20240079142
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