Xiang Li

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 40

Top Topics

Atrial Fibrillation

Clinical Decision Support

Missing Data Imputation

Top Venues

Publications

Lan Wei, Ye Li, Jianying Guo, Xiang Li, Shujiang Mei, Yongsheng Wu, Guotong Xie, Tiejian Feng
Predicting the trend and outbreak of influenza A using machine learning algorithms in Shenzhen, China. ISAIMS (2023)
Yingxue Li, Wenxiao Jia, Junmei Wang, Jianying Guo, Qin Liu, Xiang Li, Guotong Xie, Fei Wang
ALeRT-COVID: Attentive Lockdown-awaRe Transfer Learning for Predicting COVID-19 Pandemics in Different Countries. J. Heal. Informatics Res. 5 (1) (2021)
Xiaoshuang Liu, Xian Xu, Xiao Xu, Xiang Li, Guotong Xie
Representation Learning for Multi-omics Data with Heterogeneous Gene Regulatory Network. BIBM (2021)
Xiao Xu, Xiaoshuang Liu, Yanni Kang, Xian Xu, Junmei Wang, Yuyao Sun, Quanhe Chen, Xiaoyu Jia, Xinyue Ma, Xiaoyan Meng, Xiang Li, Guotong Xie
A Multi-directional Approach for Missing Value Estimation in Multivariate Time Series Clinical Data. J. Heal. Informatics Res. 4 (4) (2020)
Yanni Kang, Xiaoyu Jia, Yiying Hu, Jianying Guo, Xiang Li, Guo Tong Xie, Kaifei Wang
A Clinically Practical and Interpretable Deep Model for ICU Mortality Prediction with External Validation. AMIA (2020)
Yingxue Li, Wenxiao Jia, Yashu Kang, Tiange Chen, Xiang Li, Xin Du, Jianzeng Dong, Changsheng Ma, Fei Wang, Guotong Xie
DeepComp: Which Competing Event Will Hit the Patient First? BIBM (2020)
Xiao Xu, Junmei Wang, Xian Xu, Yuyao Sun, Quanhe Chen, Xiang Li, Guotong Xie
Estimating Missing Values in Multivariate-Time-Series Clinical Data using Gradient Boosting Tree on Temporal and Cross-variable Features. ICHI (2019)
Xiang Li, Yanni Kang, Xiaoyu Jia, Junmei Wang, Guotong Xie
TASP: A Time-Phased Model for Sepsis Prediction. CinC (2019)
Yanni Kang, Xiaoyu Jia, Xiang Li, Guotong Xie
Using Temporal Feature Aggregation and Gradient Boosting Tree on Missing Data Imputation. ICHI (2019)
Xiaoshuang Liu, Xinyue Ma, Xiaoyan Meng, Xiang Li, Guotong Xie
IEEE ICHI Data Analytics Challenge on Missing data Imputation by Amelia II. ICHI (2019)
Ying Wang, Xiao Xu, Tao Jin, Xiang Li, Guotong Xie, Jianmin Wang
Inpatient2Vec: Medical Representation Learning for Inpatients. BIBM (2019)
Wenxiao Jia, Xiang Li, Kewei Tan, Guotong Xie
Predicting the outbreak of the hand-foot-mouth diseases in China using recurrent neural network. 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)
Zhi Qiao, Shiwan Zhao, Cao Xiao, Xiang Li, Yong Qin, Fei Wang
Pairwise-Ranking based Collaborative Recurrent Neural Networks for Clinical Event Prediction. IJCAI (2018)
Tiange Chen, Xiang Li, Jingang Yang, Jingyi Hu, Meilin Xu, Yong Qin, Yuejin Yang
Using Model-Based Recursive Partitioning for Treatment-Subgroup Interactions Detection in Real-World Data: A Myocardial Infarction Case Study. MIE (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)
Yiying Hu, Xiang Li, Wenqing Lei, Guotong Xie
Group-Based Trajectory Analysis of HIV-1 Patients. AMIA (2018)
Xiang Li, Zhaonan Sun, Xin Du, Haifeng Liu, Gang Hu, Guotong Xie
Bootstrap-based Feature Selection to Balance Model Discrimination and Predictor Significance: A Study of Stroke Prediction in Atrial Fibrillation. AMIA (2017)
Kai Yang, Xiang Li, Haifeng Liu, Jing Mei, Guo Tong Xie, Junfeng Zhao, Bing Xie, Fei Wang
TaGiTeD: Predictive Task Guided Tensor Decomposition for Representation Learning from Electronic Health Records. AAAI (2017)
Shijing Guo, Xiang Li, Haifeng Liu, Ping Zhang, Xin Du, Guotong Xie, Fei Wang
Integrating Temporal Pattern Mining in Ischemic Stroke Prediction and Treatment Pathway Discovery for Atrial Fibrillation. CRI (2017)
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)
Haifeng Liu, Xiang Li, Guotong Xie, Xin Du, Ping Zhang, Chengming Gu, Jingyi Hu
Precision Cohort Finding with Outcome-Driven Similarity Analytics: A Case Study of Patients with Atrial Fibrillation. MedInfo (2017)
Xiuli Li, Yueying Kao, Wei Shen, Xiang Li, Guotong Xie
Lung nodule malignancy prediction using multi-task convolutional neural network. Medical Imaging: Computer-Aided Diagnosis (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)
Yiqin Yu, Xiang Li, Gang Hu, Haifeng Liu, Jing Mei, Yuan Ni, Guoyu Tang, Guotong Xie, Weiming Xu
Personal Health Self-Management in a Data Perspective. MedInfo (2017)
Shijing Guo, Xiang Li, Xin Du, Haifeng Liu, Guotong Xie
Group-Based Trajectory Analysis for Long-Term Use of Warfarin Therapy in Atrial Fibrillation Patients. MedInfo (2017)
Xiang Li, Haifeng Liu, Jingang Yang, Guotong Xie, Meilin Xu, Yuejin Yang
Using Machine Learning Models to Predict In-Hospital Mortality for ST-Elevation Myocardial Infarction Patients. MedInfo (2017)
Jing Mei, Shiwan Zhao, Feng Jin, Lingxiao Zhang, Haifeng Liu, Xiang Li, Guotong Xie, Xuejun Li, Meilin Xu
Deep Diabetologist: Learning to Prescribe Hypoglycemic Medications with Recurrent Neural Networks. MedInfo (2017)
Xiang Li, Haifeng Liu, Xin Du, Ping Zhang, Gang Hu, Guo Tong Xie, Shijing Guo, Meilin Xu, Xiaoping Xie
Integrated Machine Learning Approaches for Predicting Ischemic Stroke and Thromboembolism in Atrial Fibrillation. AMIA (2016)
Xiang Li, Haifeng Liu, Xin Du, Gang Hu, Guotong Xie, Ping Zhang
Using Frequent Item Set Mining and Feature Selection Methods to Identify Interacted Risk Factors - The Atrial Fibrillation Case Study. MIE (2016)
Jing Mei, Wen Sun, Jing Li, Haifeng Liu, Xiang Li, Yiqin Yu, Guotong Xie
Building Evidence Graph for Clinical Decision Support. ISWC (Posters & Demos) (2016)
Lingxiao Zhang, Xiang Li, Haifeng Liu, Jing Mei, Gang Hu, Junfeng Zhao, Yanzhen Zou, Bing Xie, Guotong Xie
Probabilistic-Mismatch Anomaly Detection: Do One's Medications Match with the Diagnoses. ICDM (2016)
Xiang Li, Gang Hu, Xiaofei Teng, Guotong Xie
Building Structured Personal Health Records from Photographs of Printed Medical Records. AMIA (2015)
Yiqin Yu, Xiang Li, Haifeng Liu, Jing Mei, Nirmal Mukhi, Vatche Ishakian, Guotong Xie, Geetika T. Lakshmanan, Mike Marin
Case Analytics Workbench: Platform for Hybrid Process Model Creation and Evolution. BPM (2015)
Jing Mei, Haifeng Liu, Xiang Li, Yiqin Yu, Guotong Xie
Outcome-driven Evaluation Metrics for Treatment Recommendation Systems. MIE (2015)
Jing Mei, Haifeng Liu, Xiang Li, Guo Tong Xie, Yiqin Yu
A Decision Fusion Framework for Treatment Recommendation Systems. MedInfo (2015)
Xiang Li, Haifeng Liu, Jing Mei, Yiqin Yu, Guo Tong Xie
Mining Temporal and Data Constraints Associated with Outcomes for Care Pathways. MedInfo (2015)
Haifeng Liu, Xiang Li, Yiqin Yu, Jing Mei, Guo Tong Xie, Adam Perer, Fei Wang, Jianying Hu
Synthesizing Analytic Evidence to Refine Care Pathways. MIE (2015)
Xiang Li, Jing Mei, Haifeng Liu, Yiqin Yu, Guotong Xie, Jianying Hu, Fei Wang
Analysis of Care Pathway Variation Patterns in Patient Records. MIE (2015)
Jing Mei, Jing Li, Yiqin Yu, Xiang Li, Haifeng Liu, Guotong Xie
Embracing case management for computerization of care pathways. MIE (2014)
Xiang Li, Haifeng Liu, Shilei Zhang, Jing Mei, Guotong Xie, Yiqin Yu, Jing Li, Geetika T. Lakshmanan
Automatic Variance Analysis of Multistage Care Pathways. MIE (2014)
Haifeng Liu, Yang Liu, Xiang Li, Guo Tong Xie, Geetika T. Lakshmanan
Towards Pathway Variation Identification: Aligning Patient Records with a Care Pathway. CIKM (2014)
Yiqin Yu, Haifeng Liu, Jing Li, Xiang Li, Jing Mei, Guotong Xie, Adam Perer, Fei Wang, Jianying Hu
Care Pathway Workbench: Evidence Harmonization from Guideline and Data. MIE (2014)
Feng Cao, Yuan Ni, Weijia Shen, Wen Sun, Xiang Li, Tao Zheng
SPOCS : A Smarter Point of Care System for Coordinated Chronic Disease Management. MedInfo (2013)
Wen Sun, Weijia Shen, Xiang Li, Feng Cao, Yuan Ni, Haifeng Liu
Mining Information Dependency in Outpatient Encounters for Chronic Disease Care. MedInfo (2013)
Jianzhou Feng, Weijia Shen, Feng Cao, Yuan Ni, Peng Cai, Wen Sun, Xiang Li
Using Data Mining Techniques on Discovering Physician Practice Patterns Regarding to Medication Prescription - An Exploratory Study. MedInfo (2013)
Haifeng Liu, Guo Tong Xie, Jing Mei, Weijia Shen, Wen Sun, Xiang Li
An Efficacy Driven Approach for Medication Recommendation in Type 2 Diabetes Treatment Using Data Mining Techniques. MedInfo (2013)
Jun Xu, Xiang Li, Yangchun Ren, Weidong Geng
Performance-driven animation of hand-drawn cartoon faces. Comput. Animat. Virtual Worlds 22 (5) (2011)
Xiang Li, Jun Xu, Yangchun Ren, Weidong Geng
Animating cartoon faces by multi-view drawings. Comput. Animat. Virtual Worlds 21 (3-4) (2010)