Eryu Xia

20 papers Misc 2Journal 4Unranked 14
YearRankTypeTitle / Venue / Authors
2025 — conf
TrialPred: an interpretability model based on multimodal data for predicting the duration of clinical trials.
BCB
Tianxing Zhou, Jialiang Huang, Chenxi Wang, Andreu Paredes-Gallardo, Eryu Xia, Yinghua Zhou, Guangzhong Sun
2019 — conf
A Data-driven Clinical Decision Support System for Acute Coronary Syndrome Patient Similarity.
ICHI
Eryu Xia, Ke Wang, Yuan Zhang, Yiqin Yu, Jing Mei, Shaochun Li
2019 — conf
A Method to Accelerate and Visualize Iterative Clinical Paper Searching.
MedInfo
Yiqin Yu, Enliang Xu, Eryu Xia, He Huang, Bibo Hao, Shilei Zhang
2019 — conf
Decentralized Privacy-Preserving Platform for Clinical Data Sharing and Analysis.
MedInfo
Suijun Tong, Yong Yang, Wen Sun, Eryu Xia, Shaochun Li
2019 — conf
Facilitating Clinical Trial Recruitment by Recommending Cost-Efficient Medical Exams.
MedInfo
Bibo Hao, Shouyu Yan, Eryu Xia, Shilei Zhang, Jing Mei
2019 — conf
Insight Ease: A System for Automated Data-driven Healthcare Insight Generation.
ICHI
Yuan Zhang, Changsheng Ma, Jianzeng Dong, Eryu Xia, Bibo Hao, Jing Mei, Yong Qin, Shaochun Li, Wen Sun, Zhengbo Zhang, Xin Du
2019 — conf
Knowledge Learning Symbiosis for Developing Risk Prediction Models from Regional EHR Repositories.
MedInfo
Jing Mei, Eryu Xia
2019 — conf
Multiple MACE Risk Prediction using Multi-Task Recurrent Neural Network with Attention.
ICHI
Enliang Xu, Shiwan Zhao, Jing Mei, Eryu Xia, Yiqin Yu, Songfang Huang
2019 — conf
Network-Based Prediction of Major Adverse Cardiac Events in Acute Coronary Syndromes from Imbalanced EMR Data.
MedInfo
Pengwei Hu, Eryu Xia, Shochun Li, Xin Du, Changsheng Ma, Jianzeng Dong, Keith C. C. Chan
2019 — conf
Outcome-Driven Clustering of Acute Coronary Syndrome Patients Using Multi-Task Neural Network with Attention.
MedInfo
Eryu Xia, Xin Du, Jing Mei, Wen Sun, Suijun Tong, Zhiqing Kang, Jian Sheng, Jian Li, Changsheng Ma, Jianzeng Dong, Shaochun Li
2019 J jnl
Outcome-Driven Clustering of Acute Coronary Syndrome Patients using Multi-Task Neural Network with Attention.
CoRR
Eryu Xia, Xin Du, Jing Mei, Wen Sun, Suijun Tong, Zhiqing Kang, Jian Sheng, Jian Li, Changsheng Ma, Jianzeng Dong, Shaochun Li
2019 — conf
Predicting Prevalence of Respiratory Disease with Multi-task Gaussian Process: A Case Study in East China.
ICHI
Yuan Zhang, Peiyao Li, Xiaoyan Zhao, Eryu Xia, Jing Mei, Zhicheng Yang, Yong Qin, Shaochun Li, Zhengbo Zhang
2018 J jnl
Deep Diabetologist: Learning to Prescribe Hyperglycemia Medications with Hierarchical Recurrent Neural Networks.
CoRR
Jing Mei, Shiwan Zhao, Feng Jin, Eryu Xia, Haifeng Liu, Xiang Li
2018 Misc conf
Mining Disease-Symptom Relation from Massive Biomedical Literature and Its Application in Severe Disease Diagnosis.
AMIA
Eryu Xia, Wen Sun, Jing Mei, Enliang Xu, Ke Wang, Yong Qin
2018 — conf
Using Machine Learning Approaches for Emergency Room Visit Prediction Based on Electronic Health Record Data.
MIE
Zhi Qiao, Ning Sun, Xiang Li, Eryu Xia, Shiwan Zhao, Yong Qin
2017 — conf
Applying Risk Models on Patients with Unknown Predictor Values: An Incremental Learning Approach.
MedInfo
Enliang Xu, Xiang Li, Jing Mei, Shiwan Zhao, Gang Hu, Eryu Xia, Haifeng Liu, Guotong Xie, Meilin Xu, Xuejun Li
2017 J jnl
Developing Knowledge-enhanced Chronic Disease Risk Prediction Models from Regional EHR Repositories.
CoRR
Jing Mei, Eryu Xia, Xiang Li, Guotong Xie
2017 — conf
Gathering Real World Evidence with Cluster Analysis for Clinical Decision Support.
MedInfo
Eryu Xia, Haifeng Liu, Jing Li, Jing Mei, Xuejun Li, Enliang Xu, Xiang Li, Gang Hu, Guotong Xie, Meilin Xu
2017 Misc conf
Learning Doctors' Medicine Prescription Pattern for Chronic Disease Treatment by Mining Electronic Health Records: A Multi-Task Learning Approach.
AMIA
Eryu Xia, Jing Mei, Guotong Xie, Xuejun Li, Zhibin Li, Meilin Xu
2013 J jnl
Viral quasispecies inference from 454 pyrosequencing.
BMC Bioinform.
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