Towards an ontology of mental health: Protocol for developing an ontology to structure and integrate evidence regarding anxiety, depression and psychosis.

Q1 Medicine Wellcome Open Research Pub Date : 2024-11-14 eCollection Date: 2024-01-01 DOI:10.12688/wellcomeopenres.20701.2
Paulina M Schenk, Janna Hastings, Micaela Santilli, Jennifer Potts, Jaycee Kennett, Claire Friedrich, Susan Michie
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Abstract

Background: Research about anxiety, depression and psychosis and their treatments is often reported using inconsistent language, and different aspects of the overall research may be conducted in separate silos. This leads to challenges in evidence synthesis and slows down the development of more effective interventions to prevent and treat these conditions. To address these challenges, the Global Alliance for Living Evidence on aNxiety, depressiOn and pSychosis (GALENOS) Project is conducting a series of living systematic reviews about anxiety, depression and psychosis. An ontology (a classification and specification framework) for the domain of mental health is being created to organise and synthesise evidence within these reviews and present them in a structured online data repository.

Aim: This study aims to develop an ontology of mental health that includes entities with clear labels and definitions to describe and synthesise evidence about mental health, focusing on anxiety, depression and psychosis.

Methods: We will develop and apply the GALENOS Mental Health Ontology through eight steps: (1) defining the ontology's scope; (2) identifying, labelling and defining the ontology's entities for the GALENOS living systematic reviews; (3) structuring the ontology's upper level (4) refining entities via iterative stakeholder consultations regarding the ontology's clarity and scope; (5) formally specifying the relationships between entities in the Mental Health Ontology; (6) making the ontology machine-readable and available online; (7) integrating the ontology into the data repository; and (8) exploring the ontology-structured repository's usability.

Conclusion and discussion: The Mental Health Ontology supports the formal representation of complex upper-level entities within mental health and their relationships. It will enable more explicit and precise communication and evidence synthesis about anxiety, depression and psychosis across the GALENOS Project's living systematic reviews. By being computer readable, the ontology can also be harnessed within algorithms that support automated categorising, linking, retrieving and synthesising evidence.

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建立心理健康本体论:开发本体论以构建和整合有关焦虑、抑郁和精神病的证据的协议。
背景:关于焦虑、抑郁和精神病及其治疗的研究经常使用不一致的语言进行报道,并且整体研究的不同方面可能在单独的孤岛中进行。这导致了证据合成方面的挑战,并减缓了预防和治疗这些疾病的更有效干预措施的发展。为了应对这些挑战,全球焦虑、抑郁和精神病生活证据联盟(GALENOS)项目正在开展一系列关于焦虑、抑郁和精神病的生活系统综述。正在创建精神卫生领域的本体(分类和规范框架),以组织和综合这些审查中的证据,并将其呈现在结构化的在线数据存储库中。目的:本研究旨在建立一个心理健康本体,包括具有明确标签和定义的实体,以描述和综合有关心理健康的证据,重点关注焦虑、抑郁和精神病。方法:我们将通过八个步骤开发和应用GALENOS心理健康本体:(1)定义本体的范围;(2)为GALENOS活系统评价识别、标记和定义本体实体;(3)构建本体的上层;(4)就本体的清晰度和范围,通过利益相关者的反复磋商,提炼实体;(5)对心理健康本体各实体之间的关系进行形式化规定;(6)使本体机器可读并在线提供;(7)将本体集成到数据存储库中;(8)探索本体结构存储库的可用性。结论与讨论:心理健康本体支持心理健康及其关系中复杂上层实体的形式化表示。它将在GALENOS项目的实时系统评价中实现关于焦虑、抑郁和精神病的更明确、更精确的交流和证据合成。通过计算机可读,本体也可以在支持自动分类、链接、检索和合成证据的算法中加以利用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Wellcome Open Research
Wellcome Open Research Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (all)
CiteScore
5.50
自引率
0.00%
发文量
426
审稿时长
1 weeks
期刊介绍: Wellcome Open Research publishes scholarly articles reporting any basic scientific, translational and clinical research that has been funded (or co-funded) by Wellcome. Each publication must have at least one author who has been, or still is, a recipient of a Wellcome grant. Articles must be original (not duplications). All research, including clinical trials, systematic reviews, software tools, method articles, and many others, is welcome and will be published irrespective of the perceived level of interest or novelty; confirmatory and negative results, as well as null studies are all suitable. See the full list of article types here. All articles are published using a fully transparent, author-driven model: the authors are solely responsible for the content of their article. Invited peer review takes place openly after publication, and the authors play a crucial role in ensuring that the article is peer-reviewed by independent experts in a timely manner. Articles that pass peer review will be indexed in PubMed and elsewhere. Wellcome Open Research is an Open Research platform: all articles are published open access; the publishing and peer-review processes are fully transparent; and authors are asked to include detailed descriptions of methods and to provide full and easy access to source data underlying the results to improve reproducibility.
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