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Exploration of multimorbidity patterns of chronic diseases in patients with atrial fibrillation or flutter(AFF) using BEHRT and BERTopic: A feasibility study
- Bae, Soo Kyung;
- Kim, Yeonjae;
- Kim, Hwiyoung;
- Park, Bomi
Citations
SCOPUS
1초록
Drawing from the extensive dataset of the National Health Insurance Corporation (2002-2019), we employed the BEHRT model and BERTopic analysis to predict and understand complex disease trajectories. We identified detailed disease associations using BEHRT optimal architecture with a 6-layer design, achieving notable metrics in predicting Atrial Fibrillation and Flutter (AFF). Our findings underscore the transformative potential of AI in enhancing health informatics and promoting patient-centric care. ©2024 IEEE.
키워드
BEHRT; BERTopic; Chronic disease occurrence prediction; complex diseasepatterns topic modelling
- 제목
- Exploration of multimorbidity patterns of chronic diseases in patients with atrial fibrillation or flutter(AFF) using BEHRT and BERTopic: A feasibility study
- 저자
- Bae, Soo Kyung; Kim, Yeonjae; Kim, Hwiyoung; Park, Bomi
- 발행일
- 2024
- 유형
- Conference paper
- 저널명
- Proceedings - 2024 IEEE 1st International Conference on Artificial Intelligence for Medicine, Health and Care, AIMHC 2024
- 페이지
- 68 ~ 69
- 언어
- ENG
- 출판사
- Institute of Electrical and Electronics Engineers Inc.
- 분량
- 2 페이지
- ISSN
- P 0000-0000