Predicting hepatocellular carcinoma recurrences: A data-driven multiclass classification method incorporating latent variables. - Da Xu; Jessica Qiuhua Sheng; Paul Jen-Hwa Hu; Ting Shuo Huang; Wei-Chen Lee (J. Biomed. Informatics, 2019)

A Double-Layer Interactive Recurrent Neural Network Method to Predict Hepatocellular Carcinoma Patient's Survivability. - Anqi Xu; Bo Wen; Paul Jen-Hwa Hu; Ting Shuo Huang (AMCIS, 2020)

A deep learning-based, unsupervised method to impute missing values in electronic health records for improved patient management. - Da Xu; Paul Jen-Hwa Hu; Ting Shuo Huang; Xiao Fang; Chih-Chin Hsu (J. Biomed. Informatics, 2020)

A Deep Learning-Based Unsupervised Method to Impute Missing Values in Patient Records for Improved Management of Cardiovascular Patients. - Da Xu; Jessica Qiuhua Sheng; Paul Jen-Hwa Hu; Ting Shuo Huang; Chih-Chin Hsu (IEEE J. Biomed. Health Informatics, 2021)

A hierarchical multilabel graph attention network method to predict the deterioration paths of chronic hepatitis B patients. - Zejian (Eric) Wu; Da Xu; Paul Jen-Hwa Hu; Ting Shuo Huang (J. Am. Medical Informatics Assoc., 2023)

A meta-path, attention-based deep learning method to support hepatitis carcinoma predictions for improved cirrhosis patient management. - Zejian (Eric) Wu; Da Xu; Paul Jen-Hwa Hu; Liang Li; Ting Shuo Huang (Decis. Support Syst., 2024)

Mining Multimorbidity Trajectories and Co-Medication Effects from Patient Data to Predict Post-Hip Fracture Outcomes. - Jessica Qiuhua Sheng; Da Xu; Paul Jen-Hwa Hu; Liang Li; Ting Shuo Huang (ACM Trans. Manag. Inf. Syst., 2024)

A deep learning-based method to predict the length of stay for patients with traumatic fall injuries in support of physicians' clinical decisions and patient management. - Jiaxuan Peng; Da Xu; Paul Jen-Hwa Hu; Jessica Qiuhua Sheng; Ting Shuo Huang (Decis. Support Syst., 2025)