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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
- Authors
- Bae, Soo Kyung; Kim, Yeonjae; Kim, Hwiyoung; Park, Bomi
- Issue Date
- 2024
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- BEHRT; BERTopic; Chronic disease occurrence prediction; complex diseasepatterns topic modelling
- Citation
- Proceedings - 2024 IEEE 1st International Conference on Artificial Intelligence for Medicine, Health and Care, AIMHC 2024, pp 68 - 69
- Pages
- 2
- Journal Title
- Proceedings - 2024 IEEE 1st International Conference on Artificial Intelligence for Medicine, Health and Care, AIMHC 2024
- Start Page
- 68
- End Page
- 69
- ISSN
- 0000-0000
- Abstract
- 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.
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