Objective approach to diagnosing attention deficit hyperactivity disorder by using pixel subtraction and machine learning classification of outpatient consultation videos
Our pixel subtraction and machine learning classification approach is an objective and practical method that can aid to clinical decisions regarding ADHD diagnosis.
Authors
- San‐Yuan Wang (ORCID: https://orcid.org/0000-0002-8804-2226)
- Yi-Hung Chiu (ORCID: https://orcid.org/0000-0003-2878-7549)
- Lung‐Chang Lin (ORCID: https://orcid.org/0000-0001-6963-1925)
- Rong‐Ching Wu (ORCID: https://orcid.org/0000-0001-8862-9150)
- Ying-Han Lee (ORCID: https://orcid.org/0000-0002-8248-6862)
- Rei‐Cheng Yang (ORCID: https://orcid.org/0000-0001-6116-260X)
- Chen‐Sen Ouyang
Institutions
- Kaohsiung Medical University (TW)
- Kaohsiung Medical University Chung-Ho Memorial Hospital (TW)
- National Kaohsiung University of Science and Technology (TW)
- I-Shou University (TW)
Publication Details
- Journal
- Journal of Neurodevelopmental Disorders
- Published
- 2024-12-24
- DOI
- https://doi.org/10.1186/s11689-024-09588-z
- Citations
- 3
- Primary Topic
- Attention Deficit Hyperactivity Disorder
- Type
- article
- Field-Weighted Citation Impact
- 1.16
Funders
- National Kaohsiung University of Science and Technology
- Ministry of Science and Technology, Taiwan
- Kaohsiung Medical University
- Kaohsiung Medical University Chung-Ho Memorial Hospital
- National Science and Technology Council