Intradialytic blood pressure pattern recognition based on density peak clustering. - Feng Wang 035; Jing-yi Zhou; Yu Tian 002; Yu Wang 036; Ping Zhang; Jianghua Chen; Jing-song Li 001 (J. Biomed. Informatics, 2018)

Pattern recognition and prognostic analysis of longitudinal blood pressure records in hemodialysis treatment based on a convolutional neural network. - Feng Wang 035; Yu Wang 036; Yu Tian 002; Ping Zhang; Jianghua Chen; Jing-song Li 001 (J. Biomed. Informatics, 2019)

Deep Semisupervised Multitask Learning Model and Its Interpretability for Survival Analysis. - Shengqiang Chi; Yu Tian 002; Feng Wang 035; Yu Wang 146; Ming Chen; Jingsong Li 001 (IEEE J. Biomed. Health Informatics, 2021)

A novel lifelong machine learning-based method to eliminate calibration drift in clinical prediction models. - Shengqiang Chi; Yu Tian 002; Feng Wang 035; Tianshu Zhou; Shan Jin; Jingsong Li 001 (Artif. Intell. Medicine, 2022)

Temporal Phenotyping for End-Stage Renal Disease Using Longitudinal Electronic Health Records. - Shengqiang Chi; Feng Wang 035; Xueyao Li; Minghong Xu; Jingsong Li 001 (MedInfo, 2023)

A Hemodialysis Mortality Prediction Model Based on Active Contrastive Learning. - Feng Wang 035; Shengqiang Chi; Xueyao Li; Hang Zhang; Jingsong Li 001 (MedInfo, 2023)

Extracting Dynamic Information of Temporal Clinical Data to Predict the Outcome in Critically Ill Patients. - Jing Xia; Yi Ren; Zhenchuan Zhang; Feng Wang 035; Yu Tian 002; Tianshu Zhou; Jingsong Li 001 (MedInfo, 2023)