12 citations · 29 across the 5 of their papers we have counts for
5 papers
Natural language processing to identify lupus nephritis phenotype in electronic health records
Yu Deng, Jennifer A. Pacheco, Anh Chung +14
Systemic lupus erythematosus (SLE) is a rare autoimmune disorder characterized by an unpredictable course of flares and remission with diverse manifestations. Lupus nephritis, one…
BERTSurv: BERT-Based Survival Models for Predicting Outcomes of Trauma Patients
Yun Zhao, Qinghang Hong, Xinlu Zhang +3
Survival analysis is a technique to predict the times of specific outcomes, and is widely used in predicting the outcomes for intensive care unit (ICU) trauma patients. Recently, d…
Evaluating the Portability of an NLP System for Processing Echocardiograms: A Retrospective, Multi-site Observational Study
Prakash Adekkanattu, Guoqian Jiang, Yuan Luo +14
While natural language processing (NLP) of unstructured clinical narratives holds the potential for patient care and clinical research, portability of NLP approaches across multipl…
Characterizing Design Patterns of EHR-Driven Phenotype Extraction Algorithms
Yizhen Zhong, Luke Rasmussen, Yu Deng +10
The automatic development of phenotype algorithms from Electronic Health Record data with machine learning (ML) techniques is of great interest given the current practice is very t…
Natural Language Processing for EHR-Based Computational Phenotyping
Zexian Zeng, Yu Deng, Xiaoyu Li +2
This article reviews recent advances in applying natural language processing (NLP) to Electronic Health Records (EHRs) for computational phenotyping. NLP-based computational phenot…