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20062025
most citedEnhancing Clinical Concept Extraction with Contextual Embeddings

338 citations

Showing 2019Show all

7 papers · 1 filter

physics.med-ph2019★ 27 cited

Dosimetric performance of a multi-point plastic scintillator dosimeter as a tool for real-time source tracking in high dose rate brachytherapy

Haydee M. Linares Rosales, Louis Archambault, Sam Beddar +1

Purpose: To present the performance of a multi-point plastic scintillation detector (mPSD) as a tool in vivo dosimetry in brachytherapy. Methods: A previously optimized three-point…

cs.IR2019★ 49 cited

BERT-based Ranking for Biomedical Entity Normalization

Zongcheng Ji, Qiang Wei, Hua Xu

Developing high-performance entity normalization algorithms that can alleviate the term variation problem is of great interest to the biomedical community. Although deep learning-b…

cs.LG2019★ 40 cited

Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis

Jing Ma, Qiuchen Zhang, Jian Lou +3

Tensor factorization has been demonstrated as an efficient approach for computational phenotyping, where massive electronic health records (EHRs) are converted to concise and meani…

stat.AP2019★ 10 cited

Combining Representation Learning with Tensor Factorization for Risk Factor Analysis - an application to Epilepsy and Alzheimer's disease

Xiaoqian Jiang, Samden Lhatoo, Guo-Qiang Zhang +2

Existing studies consider Alzheimer's disease (AD) a comorbidity of epilepsy, but also recognize epilepsy to occur more frequently in patients with AD than those without. The goal…

q-bio.NC2019★ 3 cited

Discriminative Sleep Patterns of Alzheimer's Disease via Tensor Factorization

Yejin Kim, Xiaoqian Jiang, Luyao Chen +2

Sleep change is commonly reported in Alzheimer's disease (AD) patients and their brain wave studies show decrease in dreaming and non-dreaming stages. Although sleep disturbance is…

cs.CL2019★ 338 cited

Enhancing Clinical Concept Extraction with Contextual Embeddings

Yuqi Si, Jingqi Wang, Hua Xu +1

Neural network-based representations ("embeddings") have dramatically advanced natural language processing (NLP) tasks, including clinical NLP tasks such as concept extraction. Rec…

cs.CV2019★ 58 cited

DC-AL GAN: Pseudoprogression and True Tumor Progression of Glioblastoma Multiform Image Classification Based on DCGAN and AlexNet

Meiyu Li, Hailiang Tang, Michael D. Chan +2

Pseudoprogression (PsP) occurs in 20-30% of patients with glioblastoma multiforme (GBM) after receiving the standard treatment. In the course of post-treatment magnetic resonance i…