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首页> 外文期刊>BMC Medical Informatics and Decision Making >“OPTImAL”: an ontology for patient adherence modeling in physical activity domain
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“OPTImAL”: an ontology for patient adherence modeling in physical activity domain

机译：“ OPTImAL”：身体活动领域中患者依从性建模的本体

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Maintaining physical fitness is a crucial component of the therapeutic process for patients with cardiovascular disease (CVD). Despite the known importance of being physically active, patient adherence to exercise, both in daily life and during cardiac rehabilitation (CR), is low. Patient adherence is frequently composed of numerous determinants associated with different patient aspects (e.g., psychological, clinical, etc.). Understanding the influence of such determinants is a central component of developing personalized interventions to improve or maintain patient adherence. Medical research produced evidence regarding factors affecting patients’ adherence to physical activity regimen. However, the heterogeneity of the available data is a significant challenge for knowledge reusability. Ontologies constitute one of the methods applied for efficient knowledge sharing and reuse. In this paper, we are proposing an ontology called OPTImAL, focusing on CVD patient adherence to physical activity and exercise training. OPTImAL was developed following the Ontology Development 101 methodology and refined based on the NeOn framework. First, we defined the ontology specification (i.e., purpose, scope, target users, etc.). Then, we elicited domain knowledge based on the published studies. Further, the model was conceptualized, formalized and implemented, while the developed ontology was validated for its consistency. An independent cardiologist and three CR trainers evaluated the ontology for its appropriateness and usefulness. We developed a formal model that includes 142 classes, ten object properties, and 371 individuals, that describes the relations of different factors of CVD patient profile to adherence and adherence quality, as well as the associated types and dimensions of physical activity and exercise. 2637 logical axioms were constructed to comprise the overall concepts that the ontology defines. The ontology was successfully validated for its consistency and preliminary evaluated for its appropriateness and usefulness in medical practice. OPTImAL describes relations of 320 factors originated from 60 multidimensional aspects (e.g., social, clinical, psychological, etc.) affecting CVD patient adherence to physical activity and exercise. The formal model is evidence-based and can serve as a knowledge tool in the practice of cardiac rehabilitation experts, supporting the process of activity regimen recommendation for better patient adherence.
机译：维持身体健康是心血管疾病（CVD）患者治疗过程中的关键组成部分。尽管众所周知，进行体育锻炼很重要，但患者在日常生活和心脏康复（CR）期间对运动的依从性仍然很低。患者的依从性通常由与不同患者方面（例如，心理，临床等）相关的众多决定因素组成。了解此类决定因素的影响是开发个性化干预措施以改善或维持患者依从性的重要组成部分。医学研究提供了有关影响患者坚持体育锻炼方案的因素的证据。但是，可用数据的异构性是知识可重用性的重大挑战。本体构成了用于有效知识共享和重用的方法之一。在本文中，我们提出了一种称为OPTImAL的本体，重点关注CVD患者对身体活动和运动训练的依从性。 OPTImAL是根据本体开发101方法学开发的，并基于NeOn框架进行了完善。首先，我们定义了本体规范（即目的，范围，目标用户等）。然后，我们根据已发表的研究得出领域知识。此外，该模型被概念化，形式化和实施，同时对开发的本体进行了一致性验证。一名独立的心脏病专家和三名CR培训师评估了本体的适当性和实用性。我们开发了一个正式模型，该模型包括142个类别，10个对象属性和371个个体，该模型描述了CVD患者档案的不同因素与依从性和依从性的关系，以及体育活动和锻炼的相关类型和尺寸。构建了2637个逻辑公理以包含本体定义的总体概念。本体已成功验证其一致性，并对其在医学实践中的适当性和有用性进行了初步评估。 OPTImAL描述了320个因素的关系，这些因素来自60个多维方面（例如，社会，临床，心理等），这些因素影响CVD患者对身体活动和锻炼的依从性。正式模型基于证据，可以作为心脏康复专家实践中的知识工具，支持活动方案推荐过程，以更好地依从患者。

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