SYSTEMS AND METHODS FOR GENERATING PET LIKELIHOOD SCORES FOR DISEASES, CLINICAL CONDITIONS AND TRAITS

Abstract: systems and methods for generating a likelihood score that is indicative of a likelihood of a pet developing at least one of a disease, a clinical condition or other trait are disclosed. an example method may include: receiving, at a server system, pet data associated with the pet, wherein the pet data includes genetic data and breed data; generating, using a processor of the server system, a likelihood score for the pet associated with the clinical condition by applying the pet data to a trained machine learning model, wherein the trained machine learning model is trained to predict likelihood scores for the clinical condition; and causing, by the processor of the server system, a visual representation of the likelihood score to be displayed on a user device, wherein the visual representation includes an indication of the likelihood of the pet developing the clinical condition. other aspects are described and claimed.

Inventor(s): Rebecca Chodroff FORAN, Jamie FREYER, Michelle DAYA, Jason Troy HUFF, Julia LABADIE

CPC Classification: G16H50/30 (for calculating health indices; for individual health risk assessment)

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