Hospital Readmission Prediction - Applying Hierarchical Sparsity Norms for Interpretable Models. - Jialiang Jiang; Sharon Hewner; Varun Chandola (CoRR, 2018)

Estimating the causal effects of chronic disease combinations on 30-day hospital readmissions based on observational Medicaid data. - Sabrina Casucci; Li Lin 007; Sharon Hewner; Alexander G. Nikolaev (J. Am. Medical Informatics Assoc., 2018)

Tree-based Regularization for Interpretable Readmission Prediction. - Jialiang Jiang; Sharon Hewner; Varun Chandola (AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, 2019)

Explainable Deep Learning for Readmission Prediction with Tree-GloVe Embedding. - Jialiang Jiang; Sharon Hewner; Varun Chandola (ICHI, 2021)

Identifying High-Need Primary Care Patients Using Nursing Knowledge and Machine Learning Methods. - Sharon Hewner; Erica Smith; Suzanne S. Sullivan (Appl. Clin. Inform., 2023)