Xiang Li

发表

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

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

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

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

Precision Cohort Finding with Outcome-Driven Similarity Analytics: A Case Study of Patients with Atrial Fibrillation

Ping Zhang, Haifeng Liu, Xin Du, 2017, MedInfo.

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

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

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.

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

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

Predicting the outbreak of the hand-foot-mouth diseases in China using recurrent neural network

Xiang Li, Guotong Xie, Wenxiao Jia, 2019, 2019 IEEE International Conference on Healthcare Informatics (ICHI).

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.

Probabilistic-Mismatch Anomaly Detection: Do One’s Medications Match with the Diagnoses

Gang Hu, Junfeng Zhao, Haifeng Liu, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

ALeRT-COVID: Attentive Lockdown-awaRe Transfer Learning for Predicting COVID-19 Pandemics in Different Countries

Y. Li, W. Jia, J. Wang, 2020, Journal of Healthcare Informatics Research.

Predictive Modeling of Clinical Events with Mutual Enhancement Between Longitudinal Patient Records and Medical Knowledge Graph

Xiaoshuang Liu, G. Xie, Xiang Li, 2021, 2021 IEEE International Conference on Data Mining (ICDM).

A Clinically Practical and Interpretable Deep Model for ICU Mortality Prediction with External Validation

G. Xie, Xiang Li, Xiaoyu Jia, 2020, AMIA.

Data Mining for Biomedicine and Healthcare

Xiang Li, Zhengxing Huang, Jose M Juarez, 2017, Journal of healthcare engineering.

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

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

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

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

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

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

Widely targeted quantitative lipidomics and prognostic model reveal plasma lipid predictors for nasopharyngeal carcinoma

Jing Mei, Lulu Zhang, L. Ke, 2023, Lipids in Health and Disease.

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

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

Outcome-driven Evaluation Metrics for Treatment Recommendation Systems

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

Personal Health Self-Management in a Data Perspective

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