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Eryu Xia
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2010 – 2019
- 2019
- [c15]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: 1-6 - [c14]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: 1-2 - [c13]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: 1-3 - [c12]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: 1-7 - [c11]Jing Mei, Eryu Xia:
Knowledge Learning Symbiosis for Developing Risk Prediction Models from Regional EHR Repositories. MedInfo 2019: 258-262 - [c10]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: 457-461 - [c9]Suijun Tong, Yong Yang, Wen Sun, Eryu Xia, Shaochun Li:
Decentralized Privacy-Preserving Platform for Clinical Data Sharing and Analysis. MedInfo 2019: 839-842 - [c8]Yiqin Yu, Enliang Xu, Eryu Xia, He Huang, Bibo Hao, Shilei Zhang:
A Method to Accelerate and Visualize Iterative Clinical Paper Searching. MedInfo 2019: 1332-1336 - [c7]Bibo Hao, Shouyu Yan, Eryu Xia, Shilei Zhang, Jing Mei:
Facilitating Clinical Trial Recruitment by Recommending Cost-Efficient Medical Exams. MedInfo 2019: 1470-1471 - [c6]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: 1480-1481 - [i3]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 abs/1903.00197 (2019) - 2018
- [c5]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 - [c4]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: 111-115 - [i2]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 abs/1810.07692 (2018) - 2017
- [c3]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 - [c2]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: 639-643 - [c1]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: 1185-1189 - [i1]Jing Mei, Eryu Xia, Xiang Li, Guotong Xie:
Developing Knowledge-enhanced Chronic Disease Risk Prediction Models from Regional EHR Repositories. CoRR abs/1707.09706 (2017) - 2013
- [j1]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: 355 (2013)
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