Deep Learning-Assisted Gait Parameter Assessment for Neurodegenerative Diseases: Model Development and Validation.

Jing, Yu; Qin, Peinuan; Fan, Xiangmin; Qiang, Wei; Wencheng, Zhu; Sun, Wei; Tian, Feng; Wang, Dakuo

Jing, Yu; Qin, Peinuan; Fan, Xiangmin; Qiang, Wei; Wencheng, Zhu; Sun, Wei; Tian, Feng; Wang, Dakuo.

Afiliación

Jing Y; Institute of Software, Chinese Academy of Sciences, Beijing, China.
Qin P; University of Chinese Academy of Sciences, Beijing, China.
Fan X; The University of Melbourne, Melbourne, Australia.
Qiang W; Institute of Software, Chinese Academy of Sciences, Beijing, China.
Wencheng Z; Chinese Academy of Sciences - Ruiyi, Beijing, China.
Sun W; Institute of Software, Chinese Academy of Sciences, Beijing, China.
Tian F; University of Chinese Academy of Sciences, Beijing, China.
Wang D; Chinese Academy of Sciences - Ruiyi, Beijing, China.

J Med Internet Res ; 25: e46427, 2023 07 05.

Article en En | MEDLINE | ID: mdl-37405831

Asunto(s)

Aprendizaje Profundo; Marcha; Enfermedades Neurodegenerativas; Anciano; Humanos; Inteligencia Artificial; Aprendizaje Automático; Enfermedades Neurodegenerativas/diagnóstico

Palabras clave

auxiliary medical care; deep learning; gait parameter assessment; neurodegenerative disease

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Enfermedades Neurodegenerativas / Aprendizaje Profundo / Marcha Tipo de estudio: Diagnostic_studies / Prognostic_studies / Qualitative_research / Screening_studies Límite: Aged / Humans Idioma: En Revista: J Med Internet Res Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: China

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