US 11,894,144 B2
Animal health decision support system and methods
Debra Leon, Long Grove, IL (US); Trevor Page, Chicago, IL (US); and Gunnison Carbone, Orlando, FL (US)
Assigned to Whiskers Worldwide, LLC, Skokie, IL (US)
Filed by Whiskers Worldwide, LLC, Skokie, IL (US)
Filed on Nov. 4, 2020, as Appl. No. 17/089,116.
Application 17/089,116 is a continuation of application No. 16/811,606, filed on Mar. 6, 2020.
Application 16/811,606 is a continuation in part of application No. 15/359,033, filed on Nov. 22, 2016, granted, now 10,629,304, issued on Apr. 21, 2020.
Application 15/359,033 is a continuation in part of application No. 14/011,538, filed on Aug. 27, 2013, abandoned.
Prior Publication US 2021/0327587 A1, Oct. 21, 2021
Prior Publication US 2022/0148732 A2, May 12, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G16H 50/30 (2018.01); G16H 10/60 (2018.01); G06N 20/10 (2019.01); G16H 50/20 (2018.01); G16H 50/50 (2018.01); G06N 3/08 (2023.01)
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
OG exemplary drawing
 
1. A system for providing non-human animal health decision support, the system comprising:
a processor; and
a non-volatile, non-transitory memory storing a module with instruction executed by the processor, the processor operative to:
collect non-human animal information including type of non-human animal;
determine a non-human animal health topic based on the collected non-human animal information;
transmit a question set corresponding to the non-human animal topic, the question set including one or more questions, each question having one or more associated answers, wherein at least one question of said question set corresponds to a medical history associated with a human owner of the animal;
receive answers associated with the question set;
analyze the answers to predict a severity of a medical condition based on the pet data and the human owner data, wherein the predicting comprises training a machine learning model based on the analyzing of the answers corresponding to the non-human animal topic and the medical history associated with the human owner, wherein said predicting further includes comparing an age of the animal to the model for a probabilistic determination of an initial onset of hypothyroidism;
determine a course of action based on the predicted severity, wherein the course of action is a recommendation comprising at least one of contacting a veterinarian, obtaining a relevant product, making an appointment with a veterinarian, watching for change in symptoms in the non-human animal, and transporting the non-human animal to a clinic; and
generate the course of action for display to a user.