Discovery of clinical pathway patterns from event logs using probabilistic topic models. - Zhengxing Huang; Wei Dong 005; Lei Ji 005; Chenxi Gan; Xudong Lu; Huilong Duan (J. Biomed. Informatics, 2014)

Online Treatment Compliance Checking for Clinical Pathways. - Zhengxing Huang; Yurong Bao; Wei Dong 005; Xudong Lu; Huilong Duan (J. Medical Syst., 2014)

A genetic fuzzy system for unstable angina risk assessment. - Wei Dong 005; Zhengxing Huang; Lei Ji 005; Huilong Duan (BMC Medical Informatics Decis. Mak., 2014)

Similarity Measure Between Patient Traces for Clinical Pathway Analysis: Problem, Method, and Applications. - Zhengxing Huang; Wei Dong 005; Huilong Duan; Haomin Li 001 (IEEE J. Biomed. Health Informatics, 2014)

Predictive Monitoring of Local Anomalies in Clinical Treatment Processes. - Zhengxing Huang; Jose M. Juarez; Wei Dong 005; Lei Ji 005; Huilong Duan (AIME, 2015)

Medical Inpatient Journey Modeling and Clustering: A Bayesian Hidden Markov Model Based Approach. - Zhengxing Huang; Wei Dong 005; Fei Wang 001; Huilong Duan (AMIA, 2015)

On local anomaly detection and analysis for clinical pathways. - Zhengxing Huang; Wei Dong 005; Lei Ji 005; Liangying Yin; Huilong Duan (Artif. Intell. Medicine, 2015)

On mining latent treatment patterns from electronic medical records. - Zhengxing Huang; Wei Dong 005; Peter A. Bath; Lei Ji 005; Huilong Duan (Data Min. Knowl. Discov., 2015)

A probabilistic topic model for clinical risk stratification from electronic health records. - Zhengxing Huang; Wei Dong 005; Huilong Duan (J. Biomed. Informatics, 2015)

Predictive monitoring of clinical pathways. - Zhengxing Huang; Wei Dong 005; Lei Ji 005; Huilong Duan (Expert Syst. Appl., 2016)

Incorporating comorbidities into latent treatment pattern mining for clinical pathways. - Zhengxing Huang; Wei Dong 005; Lei Ji 005; Chunhua He; Huilong Duan (J. Biomed. Informatics, 2016)

Outcome Prediction in Clinical Treatment Processes. - Zhengxing Huang; Wei Dong 005; Lei Ji 005; Huilong Duan (J. Medical Syst., 2016)

Acute Coronary Syndrome Risk Prediction Based on GRACE Risk Score. - Danqing Hu; Zhengxing Huang; Tak-Ming Chan; Wei Dong 005; Xudong Lu; Huilong Duan (MedInfo, 2017)

MACE prediction of acute coronary syndrome via boosted resampling classification using electronic medical records. - Zhengxing Huang; Tak-Ming Chan; Wei Dong 005 (J. Biomed. Informatics, 2017)

Relational regularized risk prediction of acute coronary syndrome using electronic health records. - Zhengxing Huang; Zhenxiao Ge; Wei Dong 005; Kunlun He; Huilong Duan; Peter A. Bath (Inf. Sci., 2018)

Using neural attention networks to detect adverse medical events from electronic health records. - Jiebin Chu; Wei Dong 005; Kunlun He; Huilong Duan; Zhengxing Huang (J. Biomed. Informatics, 2018)

Probabilistic modeling personalized treatment pathways using electronic health records. - Zhengxing Huang; Zhenxiao Ge; Wei Dong 005; Kunlun He; Huilong Duan (J. Biomed. Informatics, 2018)

A Regularized Deep Learning Approach for Clinical Risk Prediction of Acute Coronary Syndrome Using Electronic Health Records. - Zhengxing Huang; Wei Dong 005; Huilong Duan; Jiquan Liu (IEEE Trans. Biomed. Eng., 2018)

Treatment Effect Prediction with Generative Adversarial Networks Using Electronic Health Records. - Jiebin Chu; Wei Dong 005; Zhengxing Huang (SEPDA@ISWC, 2019)

A Multi-Task Neural Network Architecture for Renal Dysfunction Prediction in Heart Failure Patients With Electronic Health Records. - Binhua Wang; Yongyi Bai; Zhenjie Yao; Jiangong Li; Wei Dong 005; Yanhui Tu; Wanguo Xue; Yaping Tian; Yifei Wang; Kunlun He (IEEE Access, 2019)

Deep representation learning for individualized treatment effect estimation using electronic health records. - Peipei Chen; Wei Dong 005; Xudong Lu; Uzay Kaymak; Kunlun He; Zhengxing Huang (J. Biomed. Informatics, 2019)

Utilizing electronic health records to predict multi-type major adverse cardiovascular events after acute coronary syndrome. - Zhengxing Huang; Yi Lu; Wei Dong 005 (Knowl. Inf. Syst., 2019)

Utilizing dynamic treatment information for MACE prediction of acute coronary syndrome. - Huilong Duan; Zhoujian Sun; Wei Dong 005; Zhengxing Huang (BMC Medical Informatics Decis. Mak., 2019)

Evidential MACE prediction of acute coronary syndrome using electronic health records. - Danqing Hu; Wei Dong 005; Xudong Lu; Huilong Duan; Kunlun He; Zhengxing Huang (BMC Medical Informatics Decis. Mak., 2019)

Adversarial MACE Prediction After Acute Coronary Syndrome Using Electronic Health Records. - Zhengxing Huang; Wei Dong 005 (IEEE J. Biomed. Health Informatics, 2019)

Interpretable Disease Prediction based on Reinforcement Path Reasoning over Knowledge Graphs. - Zhoujian Sun; Wei Dong 005; Jinlong Shi; Zhengxing Huang (CoRR, 2020)

Endpoint prediction of heart failure using electronic health records. - Jiebin Chu; Wei Dong 005; Zhengxing Huang (J. Biomed. Informatics, 2020)

In-Hospital Mortality Prediction for Heart Failure Patients Using Electronic Health Records and an Improved Bagging Algorithm. - Binhua Wang; Xiao Ma; Yifei Wang; Wei Dong 005; Chengyu Liu 001; Yongyi Bai; Suyan Bian; Jun Ying; Xin Hu; Shanshan Wan; Wanguo Xue; Yaping Tian; et al. (J. Medical Imaging Health Informatics, 2020)

Interpretable clinical prediction via attention-based neural network. - Peipei Chen; Wei Dong 005; Jinliang Wang; Xudong Lu; Uzay Kaymak; Zhengxing Huang (BMC Medical Informatics Decis. Mak., 2020)

Treatment effect prediction with adversarial deep learning using electronic health records. - Jiebin Chu; Wei Dong 005; Jinliang Wang; Kunlun He; Zhengxing Huang (BMC Medical Informatics Decis. Mak., 2020)

On Clinical Event Prediction in Patient Treatment Trajectory Using Longitudinal Electronic Health Records. - Huilong Duan; Zhoujian Sun; Wei Dong 005; Kunlun He; Zhengxing Huang (IEEE J. Biomed. Health Informatics, 2020)

Attention-Based Deep Recurrent Model for Survival Prediction. - Zhaohong Sun 003; Wei Dong 005; Jinlong Shi; Kunlun He; Zhengxing Huang (ACM Trans. Comput. Heal., 2021)

Knowledge-aware multi-center clinical dataset adaptation: Problem, method, and application. - Jiebin Chu; Jinbiao Chen; Xiaofang Chen; Wei Dong 005; Jinlong Shi; Zhengxing Huang (J. Biomed. Informatics, 2021)

On learning disentangled representations for individual treatment effect estimation. - Jiebin Chu; Zhoujian Sun; Wei Dong 005; Jinlong Shi; Zhengxing Huang (J. Biomed. Informatics, 2021)

Towards Predictive Analysis on Disease Progression: A Variational Hawkes Process Model. - Zhaohong Sun 003; Zhoujian Sun; Wei Dong 005; Jinlong Shi; Zhengxing Huang (IEEE J. Biomed. Health Informatics, 2021)

Adversarial reinforcement learning for dynamic treatment regimes. - Zhaohong Sun 003; Wei Dong 005; Haomin Li 001; Zhengxing Huang (J. Biomed. Informatics, 2023)

Interpretable Disease Progression Prediction Based on Reinforcement Reasoning Over a Knowledge Graph. - Zhoujian Sun; Wei Dong 005; Jinlong Shi; Zhengxing Huang (IEEE Trans. Syst. Man Cybern. Syst., 2024)