Eryu Xia

Publication Activity (10 Years)

Years Active: 2013-2019
Publications (10 Years): 18

Top Topics

Clinical Decision Support

Acute Coronary Syndrome

Top Venues

Publications

Suijun Tong, Yong Yang, Wen Sun, Eryu Xia, Shaochun Li
Decentralized Privacy-Preserving Platform for Clinical Data Sharing and Analysis. MedInfo (2019)
Eryu Xia, Ke Wang, Yuan Zhang, Yiqin Yu, Jing Mei, Shaochun Li
A Data-driven Clinical Decision Support System for Acute Coronary Syndrome Patient Similarity. ICHI (2019)
Eryu Xia, Xin Du, Jing Mei, Wen Sun, Suijun Tong, Zhiqing Kang, Jian Sheng, Jian Li, Changsheng Ma, Jianzeng Dong, Shaochun Li
Outcome-Driven Clustering of Acute Coronary Syndrome Patients Using Multi-Task Neural Network with Attention. MedInfo (2019)
Pengwei Hu, Eryu Xia, Shochun Li, Xin Du, Changsheng Ma, Jianzeng Dong, Keith C. C. Chan
Network-Based Prediction of Major Adverse Cardiac Events in Acute Coronary Syndromes from Imbalanced EMR Data. MedInfo (2019)
Yuan Zhang, Peiyao Li, Xiaoyan Zhao, Eryu Xia, Jing Mei, Zhicheng Yang, Yong Qin, Shaochun Li, Zhengbo Zhang
Predicting Prevalence of Respiratory Disease with Multi-task Gaussian Process: A Case Study in East China. ICHI (2019)
Yiqin Yu, Enliang Xu, Eryu Xia, He Huang, Bibo Hao, Shilei Zhang
A Method to Accelerate and Visualize Iterative Clinical Paper Searching. MedInfo (2019)
Bibo Hao, Shouyu Yan, Eryu Xia, Shilei Zhang, Jing Mei
Facilitating Clinical Trial Recruitment by Recommending Cost-Efficient Medical Exams. MedInfo (2019)
Eryu Xia, Xin Du, Jing Mei, Wen Sun, Suijun Tong, Zhiqing Kang, Jian Sheng, Jian Li, Changsheng Ma, Jianzeng Dong, Shaochun Li
Outcome-Driven Clustering of Acute Coronary Syndrome Patients using Multi-Task Neural Network with Attention. CoRR (2019)
Yuan Zhang, Changsheng Ma, Jianzeng Dong, Eryu Xia, Bibo Hao, Jing Mei, Yong Qin, Shaochun Li, Wen Sun, Zhengbo Zhang, Xin Du
Insight Ease: A System for Automated Data-driven Healthcare Insight Generation. ICHI (2019)
Jing Mei, Eryu Xia
Knowledge Learning Symbiosis for Developing Risk Prediction Models from Regional EHR Repositories. MedInfo (2019)
Enliang Xu, Shiwan Zhao, Jing Mei, Eryu Xia, Yiqin Yu, Songfang Huang
Multiple MACE Risk Prediction using Multi-Task Recurrent Neural Network with Attention. ICHI (2019)
Jing Mei, Shiwan Zhao, Feng Jin, Eryu Xia, Haifeng Liu, Xiang Li
Deep Diabetologist: Learning to Prescribe Hyperglycemia Medications with Hierarchical Recurrent Neural Networks. CoRR (2018)
Eryu Xia, Wen Sun, Jing Mei, Enliang Xu, Ke Wang, Yong Qin
Mining Disease-Symptom Relation from Massive Biomedical Literature and Its Application in Severe Disease Diagnosis. AMIA (2018)
Zhi Qiao, Ning Sun, Xiang Li, Eryu Xia, Shiwan Zhao, Yong Qin
Using Machine Learning Approaches for Emergency Room Visit Prediction Based on Electronic Health Record Data. MIE (2018)
Enliang Xu, Xiang Li, Jing Mei, Shiwan Zhao, Gang Hu, Eryu Xia, Haifeng Liu, Guotong Xie, Meilin Xu, Xuejun Li
Applying Risk Models on Patients with Unknown Predictor Values: An Incremental Learning Approach. MedInfo (2017)
Eryu Xia, Jing Mei, Guotong Xie, Xuejun Li, Zhibin Li, Meilin Xu
Learning Doctors' Medicine Prescription Pattern for Chronic Disease Treatment by Mining Electronic Health Records: A Multi-Task Learning Approach. AMIA (2017)
Jing Mei, Eryu Xia, Xiang Li, Guotong Xie
Developing Knowledge-enhanced Chronic Disease Risk Prediction Models from Regional EHR Repositories. CoRR (2017)
Eryu Xia, Haifeng Liu, Jing Li, Jing Mei, Xuejun Li, Enliang Xu, Xiang Li, Gang Hu, Guotong Xie, Meilin Xu
Gathering Real World Evidence with Cluster Analysis for Clinical Decision Support. MedInfo (2017)
Wan-Ting Poh, Eryu Xia, Kwanrutai Chin-inmanu, Lai-Ping Wong, Anthony Youzhi Cheng, Prida Malasit, Prapat Suriyaphol, Yik-Ying Teo, Rick Twee-Hee Ong
Viral quasispecies inference from 454 pyrosequencing. BMC Bioinform. 14 (2013)