Project Rosetta: a childhood social, emotional, and behavioral developmental feature mapping.

IF 1.6 3区 工程技术 Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Alyson Maslowski, Halim Abbas, Kelley Abrams, Sharief Taraman, Ford Garberson, Susan Segar
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引用次数: 0

Abstract

Background: A wide array of existing instruments are commonly used to assess childhood behavior and development for the evaluation of social, emotional and behavioral disorders such as Autism Spectrum Disorder (ASD), attention-deficit/hyperactivity disorder (ADHD), and anxiety. Many of these instruments either focus on one diagnostic category or encompass a broad set of childhood behaviors. We analyze a wide range of standardized behavioral instruments and identify a comprehensive, structured semantic hierarchical grouping of child behavioral observational features. We use the hierarchy to create Rosetta: a new set of behavioral assessment questions, designed to be minimal yet comprehensive in its coverage of clinically relevant behaviors. We maintain a full mapping from every functional feature in every covered instrument to a corresponding question in Rosetta.

Results: In all, 209 Rosetta questions are shown to cover all the behavioral concepts targeted in the eight existing standardized instruments.

Conclusion: The resulting hierarchy can be used to create more concise instruments across various ages and conditions, as well as create more robust overlapping datasets for both clinical and research use.

Abstract Image

Abstract Image

Abstract Image

罗塞塔项目:儿童社会、情感和行为发展特征映射。
背景:广泛的现有工具通常用于评估儿童行为和发展,以评估社会,情感和行为障碍,如自闭症谱系障碍(ASD),注意缺陷/多动障碍(ADHD)和焦虑。这些工具中的许多要么侧重于一个诊断类别,要么包含一系列广泛的儿童行为。我们分析了广泛的标准化行为工具,并确定了儿童行为观察特征的一个全面的、结构化的语义分层分组。我们使用层次结构来创建Rosetta:一套新的行为评估问题,旨在最小但全面地覆盖临床相关行为。我们维护了从每个覆盖的仪器的每个功能特征到Rosetta中相应问题的完整映射。结果:总的来说,209个Rosetta问题涵盖了现有8个标准化工具中针对的所有行为概念。结论:由此产生的层次结构可用于创建跨不同年龄和条件的更简洁的仪器,以及为临床和研究使用创建更健壮的重叠数据集。
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来源期刊
Journal of Biomedical Semantics
Journal of Biomedical Semantics MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
4.20
自引率
5.30%
发文量
28
审稿时长
30 weeks
期刊介绍: Journal of Biomedical Semantics addresses issues of semantic enrichment and semantic processing in the biomedical domain. The scope of the journal covers two main areas: Infrastructure for biomedical semantics: focusing on semantic resources and repositories, meta-data management and resource description, knowledge representation and semantic frameworks, the Biomedical Semantic Web, and semantic interoperability. Semantic mining, annotation, and analysis: focusing on approaches and applications of semantic resources; and tools for investigation, reasoning, prediction, and discoveries in biomedicine.
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