Xiang Li

发表

Mining Information Dependency in Outpatient Encounters for Chronic Disease Care

Yuan Ni, Haifeng Liu, Feng Cao, 2013, MedInfo.

SPOCS : A Smarter Point of Care System for Coordinated Chronic Disease Management

Yuan Ni, Feng Cao, Wen Sun, 2013, MedInfo.

Integrating Temporal Pattern Mining in Ischemic Stroke Prediction and Treatment Pathway Discovery for Atrial Fibrillation

Ping Zhang, Fei Wang, Shijing Guo, 2017, CRI.

Care Pathway Workbench: Evidence Harmonization from Guideline and Data

Fei Wang, Jing Li, Jianying Hu, 2014, MIE.

Towards Pathway Variation Identification: Aligning Patient Records with a Care Pathway

Haifeng Liu, Xiang Li, Yang Liu, 2014, CIKM.

Using Frequent Item Set Mining and Feature Selection Methods to Identify Interacted Risk Factors - The Atrial Fibrillation Case Study

Ping Zhang, Gang Hu, Haifeng Liu, 2016, MIE.

Group-Based Trajectory Analysis of HIV-1 Patients

Xiang Li, Guo Tong Xie, Yiying Hu, 2018, AMIA.

Hydrogen Bonding Promoted Tautomerism between Azo and Hydrazone Forms in Calcon with Multistimuli Responsiveness and Biocompatibility

Jing Ma, Xiang Li, Wei Zhao, 2019, J. Chem. Inf. Model..

Personal Health Self-Management in a Data Perspective

Yuan Ni, Gang Hu, Haifeng Liu, 2017, MedInfo.

Automatic Variance Analysis of Multistage Care Pathways

Jing Li, Haifeng Liu, Shilei Zhang, 2014, MIE.

Lung nodule malignancy prediction using multi-task convolutional neural network

Wei Shen, Xiang Li, Guo Tong Xie, 2017, Medical Imaging.

Analysis of Care Pathway Variation Patterns in Patient Records

Fei Wang, Jianying Hu, Haifeng Liu, 2015, MIE.

Integrated Machine Learning Approaches for Predicting Ischemic Stroke and Thromboembolism in Atrial Fibrillation

Ping Zhang, Xiaoping Xie, Gang Hu, 2016, AMIA.

Pairwise-Ranking based Collaborative Recurrent Neural Networks for Clinical Event Prediction

Fei Wang, Cao Xiao, Yong Qin, 2018, IJCAI.

Building Structured Personal Health Records from Photographs of Printed Medical Records

Gang Hu, Xiang Li, Guo Tong Xie, 2015, AMIA.

Deep Diabetologist: Learning to Prescribe Hypoglycemic Medications with Recurrent Neural Networks

Xuejun Li, Feng Jin, Haifeng Liu, 2017, MedInfo.

Improving Recommendations by Embedding Multi-Entity Relationships With Latent Dual-Metric Learning

En Wang, Yongjian Yang, Xiang Li, 2019, IEEE Access.

Using Machine Learning Approaches for Emergency Room Visit Prediction Based on Electronic Health Record Data

Yong Qin, Ning Sun, Xiang Li, 2018, MIE.

Research on static voltage stability of Ningxia electric power grid based on PSS/E

Xiang Li, 2007 .

Developing Knowledge-enhanced Chronic Disease Risk Prediction Models from Regional EHR Repositories pdf

Xiang Li, Eryu Xia, Guo Tong Xie, 2017, ArXiv.

Voltage Transient Stability Analysis by Changing the Control Modes of the Wind Generator

Xiang Li, Feng Shi, Yu Shao, 2014 .

Using Data Mining Techniques on Discovering Physician Practice Patterns Regarding to Medication Prescription - An Exploratory Study

Yuan Ni, Feng Cao, Wen Sun, 2013, MedInfo.

P‐201: Late‐News Poster: Super Multi‐View 3D Display Based on Polarization Multiplexing

Yikai Su, Yunfeng Wang, Xiang Li, 2019 .

Applying Risk Models on Patients with Unknown Predictor Values: An Incremental Learning Approach

Xuejun Li, Gang Hu, Haifeng Liu, 2017, MedInfo.

Synthesizing Analytic Evidence to Refine Care Pathways

Fei Wang, Jianying Hu, Haifeng Liu, 2015, MIE.

Building Evidence Graph for Clinical Decision Support

Jing Li, Haifeng Liu, Wen Sun, 2016, International Semantic Web Conference.

Outcome-driven Evaluation Metrics for Treatment Recommendation Systems

Haifeng Liu, Xiang Li, Yiqin Yu, 2015, MIE.

Case Analytics Workbench: Platform for Hybrid Process Model Creation and Evolution

Haifeng Liu, Vatche Ishakian, Xiang Li, 2015, BPM.

TaGiTeD: Predictive Task Guided Tensor Decomposition for Representation Learning from Electronic Health Records

Fei Wang, Kai Yang, Junfeng Zhao, 2017, AAAI.

Embracing case management for computerization of care pathways

Jing Li, Haifeng Liu, Xiang Li, 2014, MIE.

Using Model-Based Recursive Partitioning for Treatment-Subgroup Interactions Detection in Real-World Data: A Myocardial Infarction Case Study

Yong Qin, Xiang Li, Jingyi Hu, 2018, MIE.

Using Machine Learning Models to Predict In-Hospital Mortality for ST-Elevation Myocardial Infarction Patients

Haifeng Liu, Xiang Li, Guo Tong Xie, 2017, MedInfo.

Group-Based Trajectory Analysis for Long-Term Use of Warfarin Therapy in Atrial Fibrillation Patients

Shijing Guo, Haifeng Liu, Xiang Li, 2017, MedInfo.

Gathering Real World Evidence with Cluster Analysis for Clinical Decision Support

Jing Li, Xuejun Li, Gang Hu, 2017, MedInfo.

An Efficacy Driven Approach for Medication Recommendation in Type 2 Diabetes Treatment Using Data Mining Techniques

Haifeng Liu, Wen Sun, Weijia Shen, 2013, MedInfo.

Bootstrap-based Feature Selection to Balance Model Discrimination and Predictor Significance: A Study of Stroke Prediction in Atrial Fibrillation

Gang Hu, Haifeng Liu, Xiang Li, 2017, AMIA.

Mining Temporal and Data Constraints Associated with Outcomes for Care Pathways

Haifeng Liu, Xiang Li, Yiqin Yu, 2015, MedInfo.

A Decision Fusion Framework for Treatment Recommendation Systems

Haifeng Liu, Xiang Li, Yiqin Yu, 2015, MedInfo.