Automated extraction of clinical measures from videos of oculofacial disorders using machine learning: feasibility, validity and reliability

OBJECTIVES: To determine the feasibility, validity and reliability of automatically extracting clinically meaningful eyelid measurements from consumer-grade videos of individuals with oculofacial disorders. METHODS: A custom computer program was designed to automatically extract clinical measures fr...

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Detalles Bibliográficos
Autores principales: Schulz, Christopher B., Clarke, Holly, Makuloluwe, Sarith, Thomas, Peter B., Kang, Swan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9891656/
https://www.ncbi.nlm.nih.gov/pubmed/36725916
http://dx.doi.org/10.1038/s41433-023-02424-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9891656/
https://www.ncbi.nlm.nih.gov/pubmed/36725916
http://dx.doi.org/10.1038/s41433-023-02424-z

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