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- Title
Development of a Dog Health Score Using an Artificial Intelligence Disease Prediction Algorithm Based on Multifaceted Data.
- Authors
Kim, Seon-Chil; Kim, Sanghyun
- Abstract
Simple Summary: Typically, individuals who own dogs may not possess veterinary expertise, complicating their ability to promptly discern the health status of their pets. Consequently, these owners often fail to seek timely medical intervention, resulting in the necessity of visiting animal hospitals. To address this issue, our study investigated methods for dog owners to easily and promptly ascertain their dogs' health status. We equipped dogs with sensor-fitted leashes and monitored their behavioral patterns over a nine-month period. The health status determined through behavioral pattern analysis aligned with veterinarian diagnoses at a rate of 87.5%. We anticipate that future advancements in sensor technology and behavioral pattern analysis will significantly aid dog owners, particularly those without veterinary training. Detecting aberrant behaviors in dogs or observing emotional interactions between a dog and its owner may serve as indicators of potential canine diseases. However, dog owners typically struggle to assess or predict the health status of their pets independently. Consequently, there is a demand for a methodology enabling owners to evaluate their dogs' health based on everyday behavioral data. To address this need, we gathered individual canine data, including three months of standard daily activities (such as scratching, licking, swallowing, and sleeping), to train an AI model. This model identifies abnormal behaviors and quantifies each behavior as a numerical score, termed the "Health Score". This score is categorized into ten levels, where a higher score indicates a healthier state. Scores below 5 warrant medical consultation, while those above 5 are deemed healthy. We validated the baseline value of the Health Score against veterinarian diagnoses, achieving an 87.5% concordance rate. This validation confirms the reliability of the Health Score, which assesses canine health through daily activity monitoring, and is expected to significantly benefit dog owners who face challenges in determining the health status of their pets.
- Subjects
ARTIFICIAL intelligence; DOG owners; DOGS; BEHAVIORAL assessment; VETERINARY hospitals
- Publication
Animals (2076-2615), 2024, Vol 14, Issue 2, p256
- ISSN
2076-2615
- Publication type
Article
- DOI
10.3390/ani14020256