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Objective approach to diagnosing attention deficit hyperactivity disorder by using pixel subtraction and machine learning classification of outpatient consultation videos

Crossref DOI link: https://doi.org/10.1186/s11689-024-09588-z

Published Online: 2024-12-24

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Chiu, Yi-Hung

Lee, Ying-Han

Wang, San-Yuan

Ouyang, Chen-Sen

Wu, Rong-Ching

Yang, Rei-Cheng

Lin, Lung-Chang
Funding

Funding for this research was provided by:

Ministry of Science and Technology of Taiwan (MOST 110-2221-E-153 -005, MOST 110-2314-B-037-051, and MOST 109-2221-E-214-024-MY2)

National Science and Technology Council of Taiwan (NSTC 111-2314-B-037077, NSTC 111-2221-E-992-090-MY3, and NSTC 112-2221-E-214-002-MY2)
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Text and Data Mining valid from 2024-12-24

Version of Record valid from 2024-12-24
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Article History

Received: 6 August 2024

Accepted: 18 December 2024

First Online: 24 December 2024

Declarations

:

: Written informed consent was obtained from the participants’ family members or legal guardians after the study procedures had been explained. Informed consent was also obtained for publication of their children’s images. This study was approved by the Institutional Review Board of Kaohsiung Medical University Hospital (KMUIRB-SV(I)- 20190060).

: Not applicable.

: The authors declare no competing interests.

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