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Objective and automatic assessment approach for diagnosing attention-deficit/hyperactivity disorder based on skeleton detection and classification analysis in outpatient videos

Crossref DOI link: https://doi.org/10.1186/s13034-024-00749-5

Published Online: 2024-05-27

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

Authors

Ouyang, Chen-Sen

Yang, Rei-Cheng

Wu, Rong-Ching

Chiang, Ching-Tai

Chiu, Yi-Hung

Lin, Lung-Chang
Funding

Funding for this research was provided by:

National Science and Technology Council, Taiwan (NSTC 111-2314-B-037-077, NSTC 111-2221-E-992-090-MY3)

Kaohsiung Medical University Hospital (KMUH111-1R45, KMUH-SI11104, KMUH-SA11107)
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Text and Data Mining valid from 2024-05-27

Version of Record valid from 2024-05-27
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Article History

Received: 13 February 2024

Accepted: 6 May 2024

First Online: 27 May 2024

Declarations

:

: Written informed consent was obtained by a participant’s family member or legal guardian after the procedure had been explained. In addition, informed consent was also obtained from them for the 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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