ArticleAnimals : an open access journal from MDPI2021
Objective Video-Based Assessment of ADHD-Like Canine Behavior Using Machine Learning.
Article in Animals : an open access journal from MDPI, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Development of a human analogue ADHD diagnostic system for family dogs.Scientific reports · 2025Article
- The development of an efficient artificial intelligence-based classification approach for colorectal cancer response to radiochemotherapy: deep learning vs. machine learning.Scientific reports · 2025Article
- Towards an Objective Measurement Tool for ADHD-like Traits in Family Dogs: A Comprehensive Test Battery.Animals : an open access journal from MDPI · 2024Article
- Development of a human-analogue, 3-symptom domain Dog ADHD and Functionality Rating Scale (DAFRS).Scientific reports · 2024Article
- Behavioral comorbidities treatment by fecal microbiota transplantation in canine epilepsy: a pilot study of a novel therapeutic approach.Frontiers in veterinary science · 2024Article
- Automation in canine science: enhancing human capabilities and overcoming adoption barriers.Frontiers in veterinary science · 2024Article
- Digitally-enhanced dog behavioral testing.Scientific reports · 2023Article
- BrachySound: machine learning based assessment of respiratory sounds in dogs.Scientific reports · 2023Article
- Machine learning prediction and classification of behavioral selection in a canine olfactory detection program.Scientific reports · 2023Article
- Behavior-Based Video Summarization System for Dog Health and Welfare Monitoring.Sensors (Basel, Switzerland) · 2023Article
- Using machine learning to track dogs' exploratory behaviour in the presence and absence of their caregiver.Animal behaviour · 2023Article
- Clustering for Automated Exploratory Pattern Discovery in Animal Behavioral Data.Frontiers in veterinary science · 2022Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Canine ADHD-like behavior is a behavioral problem that often compromises dogs' well-being, as well as the quality of life of their owners; early diagnosis and clinical intervention are often critical for successful treatment, which usually involves medication and/or behavioral modification. Diagnosis mainly relies on owner reports and some assessment scales, which are subject to subjectivity. This study is the first to propose an objective method for automated assessment of ADHD-like behavior based on video taken in a consultation room. We trained a machine learning classifier to differentiate between dogs clinically treated in the context of ADHD-like behavior and health control group with 81% accuracy; we then used its output to score the degree of exhibited ADHD-like behavior. In a preliminary evaluation in clinical context, in 8 out of 11 patients receiving medical treatment to treat excessive ADHD-like behavior, H-score was reduced. We further discuss the potential applications of the provided artifacts in clinical settings, based on feedback on H-score received from a focus group of four behavior experts.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.