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Method for modeling behavior and health changes

  • US 10,068,673 B2
  • Filed: 11/08/2017
  • Issued: 09/04/2018
  • Est. Priority Date: 08/16/2012
  • Status: Active Grant
First Claim
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1. A method for improving treatment efficacy determination, the method comprising:

  • collecting a mobility sensor dataset for a population of patients, the mobility dataset corresponding to mobility sensors of mobile computing devices associated with the population of patients;

    selecting a first patient subgroup for a first patient from the population of patients based on first patient mobility data from the mobility sensor dataset indicating a first mobility behavior associated with the first patient subgroup and wherein selection of the first patient subgroup is operable to improve data storage, data retrieval, and the adherence determination;

    selecting a second patient subgroup for a second patient from the population of patients based on second patient mobility data from the mobility sensor dataset indicating a second mobility behavior associated with the second patient subgroup and wherein selection of the second patient subgroup is operable to improve data storage, data retrieval, and the treatment efficacy determination;

    determining first medical symptom characteristics for the first patient subgroup;

    identifying a relationship between the first medical symptom characteristics and first communication behaviors associated with the first patient subgroup; and

    generating a first treatment efficacy model based on the selected first patient subgroup to facilitate improvement of the treatment efficacy determination, wherein the first treatment efficacy model is operable to determine a treatment efficacy for a treatment regimen; and

    facilitating provision of a health-related intervention for improving a health outcome of the first patient, based on the treatment efficacy determined from the first treatment efficacy model.

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