Qiang Wei

According to our database, Qiang Wei authored at least 25 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Prompt Tuning in Biomedical Relation Extraction.

Jianping He, Fang Li, Jianfu Li, Xinyue Hu, Yi Nian, Yang Xiang, Jingqi Wang, Qiang Wei, Yiming Li, Hua Xu, Cui Tao

J. Heal. Informatics Res., June, 2024

Improving tabular data extraction in scanned laboratory reports using deep learning models.

Yiming Li, Qiang Wei, Xinghan Chen, Jianfu Li, Cui Tao, Hua Xu

J. Biomed. Informatics, 2024

Ensemble pretrained language models to extract biomedical knowledge from literature.

Zhao Li, Qiang Wei, Liang-Chin Huang, Jianfu Li, Yan Hu, Yao-Shun Chuang, Jianping He, Avisha Das, Vipina Kuttichi Keloth, Yuntao Yang, Chiamaka S. Diala, Kirk E. Roberts, Cui Tao, Xiaoqian Jiang, W. Jim Zheng, Hua Xu

J. Am. Medical Informatics Assoc., 2024

2023

Extracting Drug-Protein Relation from Literature Using Ensembles of Biomedical Transformers.

Avisha Das, Zhao Li, Qiang Wei, Jianfu Li, Liang-Chin Huang, Yan Hu, Rongbin Li, Wenjin Jim Zheng, Hua Xu

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

2022

A comparative study of pre-trained language models for named entity recognition in clinical trial eligibility criteria from multiple corpora.

Jianfu Li, Qiang Wei, Omid Ghiasvand, Miao Chen, Victor S. Lobanov, Chunhua Weng, Hua Xu

BMC Medical Informatics Decis. Mak., 2022

Chemical-Protein Relation Extraction with Pre-trained Prompt Tuning.

Jianping He, Fang Li, Xinyue Hu, Jianfu Li, Yi Nian, Jingqi Wang, Yang Xiang, Qiang Wei, Hua Xu, Cui Tao

Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

ClinicalLayoutLM: A Pre-trained Multi-modal Model for Understanding Scanned Document in Electronic Health Records.

Qiang Wei, Xu Zuo, Omer Anjum, Yan Hu, Ryan Denlinger, Elmer V. Bernstam, Martin J. Citardi, Hua Xu

Proceedings of the IEEE International Conference on Big Data, 2022

Fast Textual Corpus Retrieval from Electronic Health Records using PDF Parser and TxtSplit Tools.

Yiming Li, Qiang Wei, Yujia Zhou, Hua Xu

Proceedings of the AMIA 2022, 2022

2021

Study of Pre-trained Language Models for Named Entity Recognition in Clinical Trial Eligibility Criteria from Multiple Corpora.

Jianfu Li, Qiang Wei, Omid Ghiasvand, Miao Chen, Victor S. Lobanov, Chunhua Weng, Hua Xu

Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

2020

Deep learning in clinical natural language processing: a methodical review.

Stephen Wu, Kirk Roberts, Surabhi Datta, Jingcheng Du, Zongcheng Ji, Yuqi Si, Sarvesh Soni, Qiong Wang, Qiang Wei, Yang Xiang, Bo Zhao, Hua Xu

J. Am. Medical Informatics Assoc., 2020

A study of deep learning approaches for medication and adverse drug event extraction from clinical text.

Qiang Wei, Zongcheng Ji, Zhiheng Li, Jingcheng Du, Jingqi Wang, Jun Xu, Yang Xiang, Firat Tiryaki, Stephen Wu, Yaoyun Zhang, Cui Tao, Hua Xu

J. Am. Medical Informatics Assoc., 2020

Recognizing software names in biomedical literature using machine learning.

Qiang Wei, Yaoyun Zhang, Muhammad Amith, Rebecca Lin, Jenay Lapeyrolerie, Cui Tao, Hua Xu

Health Informatics J., 2020

Named Entity Recognition from Table Headers in Randomized Controlled Trial Articles.

Qiang Wei, Yujia Zhou, Bo Zhao, Xinyue Hu, Qiaozhu Mei, Cui Tao, Hua Xu

Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020

2019

Applying a deep learning-based sequence labeling approach to detect attributes of medical concepts in clinical text.

Jun Xu, Zhiheng Li, Qiang Wei, Yonghui Wu, Yang Xiang, Hee-Jin Lee, Yaoyun Zhang, Stephen Wu, Hua Xu

BMC Medical Informatics Decis. Mak., 2019

Cost-aware active learning for named entity recognition in clinical text.

Qiang Wei, Yukun Chen, Mandana Salimi, Joshua C. Denny, Qiaozhu Mei, Thomas A. Lasko, Qingxia Chen, Stephen Wu, Amy Franklin, Trevor Cohen, Hua Xu

J. Am. Medical Informatics Assoc., 2019

BERT-based Ranking for Biomedical Entity Normalization.

Zongcheng Ji, Qiang Wei, Hua Xu

CoRR, 2019

Detect Attributes of Medical Concepts via Sequence Labeling.

Jun Xu, Zhiheng Li, Qiang Wei, Yonghui Wu, Yang Xiang, Hee-Jin Lee, Yaoyun Zhang, Stephen Wu, Hua Xu

Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

Relation Extraction from Clinical Narratives Using Pre-trained Language Models.

Qiang Wei, Zongcheng Ji, Yuqi Si, Jingcheng Du, Jingqi Wang, Firat Tiryaki, Stephen Wu, Cui Tao, Kirk Roberts, Hua Xu

Proceedings of the AMIA 2019, 2019

2018

Extracting psychiatric stressors for suicide from social media using deep learning.

Jingcheng Du, Yaoyun Zhang, Jianhong Luo, Yuxi Jia, Qiang Wei, Cui Tao, Hua Xu

BMC Medical Informatics Decis. Mak., 2018

CLAMP-PA: A machine learning based pre-annotation pipeline for corpus construction of clinical concepts.

Yaoyun Zhang, Qiang Wei, Jingqi Wang, Hua Xu

Proceedings of the AMIA 2018, 2018

Clinical text annotation - what factors are associated with the cost of time?

Qiang Wei, Amy Franklin, Trevor Cohen, Hua Xu

Proceedings of the AMIA 2018, 2018

2017

A systematic analysis of FDA-approved anticancer drugs.

Jingchun Sun, Qiang Wei, Yubo Zhou, Jingqi Wang, Qi Liu, Hua Xu

BMC Syst. Biol., 2017

UTH_CCB System for Adverse Drug Reaction Extraction from Drug Labels at TAC-ADR 2017.

Jun Xu, Hee-Jin Lee, Zongcheng Ji, Jingqi Wang, Qiang Wei, Hua Xu

Proceedings of the 2017 Text Analysis Conference, 2017

Detecting Contradictory and Consistent Citations in Biomedical Literature.

Jun Xu, Yonghui Wu, Yaoyun Zhang, Qiang Wei, Hua Xu

Proceedings of the AMIA 2017, 2017

2016

A Study of Active Learning for Document Selection in Clinical Named Entity Recognition.

Qiang Wei, Yukun Chen, Sungrim Moon, Trevor Cohen, Hua Xu

Proceedings of the AMIA 2016, 2016