CPC G16H 50/30 (2018.01) [G06N 20/10 (2019.01); G16H 10/60 (2018.01); G16H 50/20 (2018.01); G16H 50/50 (2018.01); G06N 3/08 (2013.01)] | 20 Claims |
1. A method for outputting a condition of an animal comprising:
maintaining, at a server, a health record for the animal, said health record linked to a global record set in a database, said global record set including data corresponding to a global animal population;
capturing unstructured information including pet data and human owner data from one or more remote client devices through self-service functions and from one or more healthcare providers associated with the animal;
updating the health record with the pet data and the human owner data, said human owner data including diabetic information corresponding to a human owner of the animal;
generating one or more condition records corresponding to said updated health record, each condition record associated with a symptom of the animal;
analyzing each condition record to assess the condition of the animal, wherein each condition record is analyzed on an individual basis and in regard to the global population to make a dimensional projection based on the pet data and the human owner data;
predicting a medical condition of the animal based on the pet data and the human owner data, wherein the predicting comprises training a machine learning model based on the analyzing of each condition record, wherein said predicting further includes comparing a weight of said animal to the model for a probabilistic determination of initial onset of diabetes; and
transmitting an output related to the condition of the animal to the one or more client devices, wherein the output includes at least one of a cause, a treatment, and an outcome.
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