对社会沟通变化简短观察量表（BOSCC）进行在线编码，以捕捉患有自闭症谱系障碍的极少言语儿童的治疗反应。
Online coding of the Brief Observation of Social Communication Change (BOSCC) to capture treatment response in minimally verbal children with autism spectrum disorder.
作者信息
Toolan Christina, Singer Hannah, Freeman Stephanny, Paparella Tanya, Elias Rebecca, Tsvetovat Maksim, Lord Catherine
机构信息
Department of Child Development, California State University, Carson, CA, USA.
Department of Psychiatry, University of California, Los Angeles, CA, USA.
出版信息
Digit Health. 2025 Jun 17;11:20552076251347105. doi: 10.1177/20552076251347105. eCollection 2025 Jan-Dec.
The Brief Observation of Social Communication Change (BOSCC) measures subtle changes in social communication behaviors in children with autism spectrum disorder (ASD). In this brief communication, we examine an online platform that was developed to streamline BOSCC coding and support the development of machine learning-based automatic coding. This study found online coding was comparable to manual coding, capturing social communication changes among children receiving ASD intervention. This advancement offers an efficient alternative to paper-and-pencil coding methods, increasing access and usability of this innovative measure.
社会沟通变化简短观察量表（BOSCC）用于测量自闭症谱系障碍（ASD）儿童社会沟通行为的细微变化。在本简短通讯中，我们研究了一个在线平台，该平台旨在简化BOSCC编码并支持基于机器学习的自动编码开发。本研究发现，在线编码与手工编码相当，能够捕捉接受ASD干预儿童的社会沟通变化。这一进展为纸笔编码方法提供了一种有效的替代方案，提高了这一创新测量方法的可及性和可用性。
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