Automated AI based identification of autism spectrum disorder from home videos.

Detalles Bibliográficos
Publicado en:NPJ Digital Medicine Vol. 8; no. 1; pp. 1 - 12
Autores principales: Kim, Dong Yeong, Do, Ryemi, Shin, Youmin, Sim, Hewoen, Kim, Hanna, Cho, Sungchul, Lee, Geonhee, Park, Seyeon, Jang, Boa, Lim, Hyojeong, Ha, Sungji, Yu, Jaeeun, Choi, Hangnyoung, Lee, Junghan, Park, Min-Hyeon, Cho, Ayeong, Yang, Chan-Mo, Lee, Dongho, Yoo, Heejeong, Lee, Yoojeong
Formato: pictorial research tables/charts Journal Article
Publicado: Springer Nature 10/10/2025
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 10/10/2025
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      pub: Springer Nature
      place: New York, New York
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        atl: Automated AI based identification of autism spectrum disorder from home videos.
      aug:
        au:
          Kim, Dong Yeong
          Do, Ryemi
          Shin, Youmin
          Sim, Hewoen
          Kim, Hanna
          Cho, Sungchul
          Lee, Geonhee
          Park, Seyeon
          Jang, Boa
          Lim, Hyojeong
          Ha, Sungji
          Yu, Jaeeun
          Choi, Hangnyoung
          Lee, Junghan
          Park, Min-Hyeon
          Cho, Ayeong
          Yang, Chan-Mo
          Lee, Dongho
          Yoo, Heejeong
          Lee, Yoojeong
        affil: https://ror.org/04h9pn542 Interdisciplinary Program in Bioengineering, Seoul National University College of Engineering, Seoul, Republic of Korea
      sug:
        subj:
          Artificial Intelligence
          Autism Spectrum Disorder Diagnosis
          Videorecording
          Automation
          Task Performance and Analysis
          Home Environment
          Diagnosis, Computer Assisted
          Human
          Early Diagnosis
          Play and Playthings
          Infant
          Hospitals
          Child, Preschool
          South Korea
          Deep Learning
          Machine Learning Classification
          ROC Curve
          Child Behavior
          Resource-Limited Settings
          Male
          Female
          Nonexperimental Studies
          Data Analysis Software
          Descriptive Statistics
          Funding Source
          Behavioral Symptoms
          Sensitivity and Specificity
          Infant: 1-23 months
          Child, Preschool: 2-5 years
          Male
          Female
      pubtype: Academic Journal
      doctype:
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
      ab:
    language: English
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