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RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records
March 5, 2024, 2:51 p.m. | Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Bowen Jin, May D. Wang, Joyce C. Ho, Carl Yang
cs.CL updates on arXiv.org arxiv.org
Abstract: We present RAM-EHR, a Retrieval AugMentation pipeline to improve clinical predictions on Electronic Health Records (EHRs). RAM-EHR first collects multiple knowledge sources, converts them into text format, and uses dense retrieval to obtain information related to medical concepts. This strategy addresses the difficulties associated with complex names for the concepts. RAM-EHR then augments the local EHR predictive model co-trained with consistency regularization to capture complementary information from patient visits and summarized knowledge. Experiments on two …
arxiv augmentation clinical cs.ai cs.cl cs.ir ehr electronic electronic health records health predictions records retrieval type
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