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Enhancing Clinical Relevance of Pretrained Language Models Through Integration of External Knowledge: Case Study on Cardiovascular Diagnosis From Electronic Health Records

Enhancing Clinical Relevance of Pretrained Language Models Through Integration of External Knowledge: Case Study on Cardiovascular Diagnosis From Electronic Health Records

Biomedical domain knowledge is inherently heterogeneous and stored in a variety of formats. A unified approach that simultaneously incorporates various knowledge sources is essential to manage this diversity. Traditional methods of sequential training with new knowledge sources are inefficient and risk losing previously integrated knowledge due to continuous model parameter adjustments.

Qiuhao Lu, Andrew Wen, Thien Nguyen, Hongfang Liu

JMIR AI 2024;3:e56932

Big Data Health Care Platform With Multisource Heterogeneous Data Integration and Massive High-Dimensional Data Governance for Large Hospitals: Design, Development, and Application

Big Data Health Care Platform With Multisource Heterogeneous Data Integration and Massive High-Dimensional Data Governance for Large Hospitals: Design, Development, and Application

The overall objective of this study was to develop and implement a health care big data platform for a large hospital in China, with data governance as the core concept, to solve difficulties related to integration, calculation, storage, standardization, and security for multisource heterogeneous medical data.

Miye Wang, Sheyu Li, Tao Zheng, Nan Li, Qingke Shi, Xuejun Zhuo, Renxin Ding, Yong Huang

JMIR Med Inform 2022;10(4):e36481