Whole-cycle management of women with epilepsy of child-bearing age: ontology construction and application
Yilin Xia, Yifei Duan, Leihao Sha, Wanlin Lai, Zhimeng Zhang, Jiaxin Hou, Lei Chen

TL;DR
This paper introduces an ontology and online system to improve the management of epilepsy in women of child-bearing age through better knowledge sharing among healthcare providers.
Contribution
The novel contribution is the development and validation of the WWECA ontology and its application in a question-and-answer system for multidisciplinary healthcare teams.
Findings
The WWECA ontology integrated 609 entities with three attributes each, achieving expert consensus through a Delphi process.
The ontology-driven system received an average rating of 4.2 from 10 experts, indicating its effectiveness and utility.
The framework shows potential for scalability to manage other complex chronic conditions.
Abstract
The effective management of epilepsy in women of child-bearing age necessitates a concerted effort from multidisciplinary teams. Nevertheless, there exists an inadequacy in the seamless exchange of knowledge among healthcare providers within this context. Consequently, it is imperative to enhance the availability of informatics resources and the development of decision support tools to address this issue comprehensively. The development of the Women with Epilepsy of Child-Bearing Age Ontology (WWECA) adhered to established ontology construction principles. The ontology’s scope and universal terminology were initially established by the development team and subsequently subjected to external evaluation through a rapid Delphi consensus exercise involving domain experts. Additional entities and attribute annotation data were sourced from authoritative guideline documents and specialized…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsBiomedical Text Mining and Ontologies · Pharmacological Effects and Toxicity Studies · Genomics and Rare Diseases
