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Development and Validation of a Functional Behavioural Assessment Ontology to Support Behavioural Health Interventions

机译:功能性行为评估本体论支持行为卫生干预措施的开发与验证

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In the cognitive-behavioral approach, Functional Behavioural Assessment is one of the most effective methods to identify the variables that determine a problem behavior. In this context, the use of modern technologies can encourage the collection and sharing of behavioral patterns, effective intervention strategies, and statistical evidence about antecedents and consequences of clusters of problem behaviors, encouraging the designing of function-based interventions. The paper describes the development and validation process used to design a specific Functional Behavioural Assessment Ontology (FBA-Ontology). The FBA-Ontology is a semantic representation of the variables that intervene in a behavioral observation process, facilitating the systematic collection of behavioral data, the consequential planning of treatment strategies and, indirectly, the scientific advancement in this field of study. The ontology has been developed deducing concepts and relationships of the ontology from a gold standard and then performing a machine-based validation and a human-based assessment to validate the Functional Behavioural Assessment Ontology. These validation and verification processes were aimed to verify how much the ontology is conceptually well founded and semantically and syntactically correct. The Pellet reasoner checked the logical consistency and the integrity of classes and properties defined in the ontology, not detecting any violation of constraints in the ontology definition. To assess whether the ontology definition is coherent with the knowledge domain, human evaluation of the ontology was performed asking 84 people to fill in a questionnaire composed by 13 questions assessing concepts, relations between concepts, and concepts' attributes. The response rate for the survey was 29/84 (34.52%). The domain experts confirmed that the concepts, the attributes, and the relationships between concepts defined in the FBA-Ontology are valid and well represent the Functional Behavioural Assessment process. The new ontology developed could be a useful tool to design new evidence-based systems in the Behavioral Interventions practices, encouraging the link with other Linked Open Data datasets and repositories to provide users with new models of eHealth focused on the management of problem behaviors. Therefore, new research is needed to develop and implement innovative strategies to improve the poor reproducibility and translatability of basic research findings in the field of behavioral assessment. ?Gianluca Merlo, Giuseppe Chiazzese, Davide Taibi, Antonella Chifari. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 31.05.2018.
机译:在认知行为方法中,功能性行为评估是识别确定问题行为的变量的最有效方法之一。在这种情况下,使用现代技术可以鼓励收集和分享行为模式,有效的干预策略以及有关事务行为集群的统计数据的统计证据,鼓励设计基于功能的干预措施。本文介绍了设计特定功能性行为评估本体(FBA-Ontology)的开发和验证过程。 FBA-本体论是干预行为观察过程中的变量的语义表示,促进了行为数据的系统收集,治疗策略的后果规划,以及间接地,科学进步。本体研究已经开发了从黄金标准的概念和关系,然后执行基于机器的验证和基于人的评估,以验证功能性行为评估本体。这些验证和验证流程旨在验证本体论概念上很好地创立的和语义和句法正确。 Pellet推理员检查了本体中定义的逻辑一致性和类和属性的完整性,而不是检测本体定义中的任何约束的任何违反。为了评估本体定义是否与知识领域一致,对本体的人类评估是在进行84人填写由13个问题,评估概念,概念与概念之间的关系组成的调查问卷。调查的响应率为29/84(34.52%)。域专家确认,FBA-本体中定义的概念,属性和关系之间的关系是有效的,并且良好代表功能性行为评估过程。开发的新本体可能是一种有用的工具,可以在行为干预措施中设计新的基于证据的系统,鼓励与其他联系的开放数据数据集和存储库的链接为用户提供新型号的电子卫生型号,专注于问题行为管理。因此,需要进行新的研究来制定和实施创新策略,以提高行为评估领域基础研究结果的可差性和可相互性。 ?Gianluca Merlo,Giuseppe Chiazzese,Davide Taibi,Antonella Chifari。最初发表在JMIR医疗信息学(http://medinform.jmir.org),31.05.2018。

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