Leveraging BERT for embedding ICD codes from large scale cardiovascular EMR data to understand patient diagnostic patterns

Leveraging BERT for embedding ICD codes from large scale cardiovascular EMR data to understand patient diagnostic patterns

Abstract The integration of electronic medical records (EMRs) with artificial intelligence (AI) is enhancing medical research, particularly in real-world evidence (RWE) studies. Extracting insights from coded medical data, such as ICD-10 codes, is essential for patient characterization. Traditional...

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Main Authors: Minkyoung Kim, Yunha Kim, Hee Jun Kang, Hyeram Seo, Heejung Choi, JiYe Han, Gaeun Kee, Soyoung Ko, HyoJe Jung, Byeolhee Kim, Boeun Choi, Tae Joon Jun, Young-Hak Kim
Format: Article
Language:English
Published: BMC 2025-08-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Electronic medical records
ICD-10
Diagnosis
Medication
MACE
Artificial intelligence
Online Access:https://doi.org/10.1186/s12911-025-03145-x
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https://doi.org/10.1186/s12911-025-03145-x

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