Methods and Systems for Determining the Likelihood of Mobility Disorders
AssigneeIDEXX Laboratories, Inc.
InventorsTimothy Gardner, Evan Peck
Life of this patent
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Abstract
A computer implemented method for identifying a condition is disclosed. The method includes receiving movement data associated with the movement of a subject over a configurable period of time. The method also includes associating the received movement data with a profile of the subject, the profile comprising anatomical data of the subject. The method additionally includes applying a machine learning algorithm to the received movement data and the profile. The method further includes determining, via the machine learning algorithm and based at least in part on the received movement data and the anatomical data of the subject, a likelihood of a mobility disorder.
Claims20
A computer implemented method for identifying a condition, the method comprising:
- receiving data associated with movement of a subject over a configurable period of time;
- associating the received movement data with a profile of the subject, the profile comprising anatomical data of the subject;
- applying a machine learning algorithm to the received movement data and the profile;
- and
- determining, via the machine learning algorithm and based at least in part on the received movement data and the anatomical data of the subject, a likelihood of a mobility disorder.
A non-transitory computer-readable medium, having stored thereon program instructions that, upon execution by a processor, cause performance of a set of operations comprising:
- receiving movement data associated with movement of a subject over a configurable period of time;
- associating the received movement data with a profile of the subject, the profile comprising anatomical data of the subject;
- applying a machine learning algorithm to the received movement data and the profile;
- and
- determining, via the machine learning algorithm and based at least in part on the received movement data and anatomical data of the subject, a likelihood of a mobility disorder.
A computing system comprising:
- a processor;
- and
- a non-transitory computer-readable medium, having stored thereon program instructions that, upon execution by the processor, cause performance of a set of operations comprising:
- receiving movement data associated with movement of a subject over a configurable period of time;
- associating the received movement data with a profile of the subject, the profile comprising anatomical data of the subject;
- applying a machine learning algorithm to the received movement data and the profile;
- and
- determining, via the machine learning algorithm and based at least in part on the received movement data and the anatomical data of the subject, a likelihood of a mobility disorder.
Dependencies are inferred from the claim text.