Semiology Extraction and Machine Learning–Based Classification of Electronic Health Records for Patients With Epilepsy: Retrospective Analysis
This work demonstrated the feasibility of natural language processing-assisted structural extraction of epilepsy medical record texts and downstream tasks, providing open ontology resources for subsequent related work.
Authors
- Mengqiao He (ORCID: https://orcid.org/0000-0003-1900-4178)
- Leihao Sha (ORCID: https://orcid.org/0000-0002-8027-7207)
- Yilin Xia (ORCID: https://orcid.org/0000-0003-1535-3303)
- Wanlin Lai (ORCID: https://orcid.org/0000-0002-1429-7787)
- Lei Chen (ORCID: https://orcid.org/0000-0001-5263-5540)
- Ling Jin (ORCID: https://orcid.org/0009-0005-1112-2438)
- Yusha Tang (ORCID: https://orcid.org/0000-0002-7089-0593)
- Sijia Basang
- Hua Li (ORCID: https://orcid.org/0009-0008-4559-9498)
- Yanjie Duan (ORCID: https://orcid.org/0000-0002-1591-3131)
- Zijie Huang (ORCID: https://orcid.org/0009-0000-2548-0643)
Institutions
- Sichuan University (CN)
- West China Hospital of Sichuan University (CN)
- Sichuan Provincial Hospital of Traditional Chinese Medicine (CN)
Publication Details
- Journal
- JMIR Medical Informatics
- Published
- 2024-10-17
- DOI
- https://doi.org/10.2196/57727
- Primary Topic
- Biomedical Text Mining and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00