We work closely with Mederrata Research and our other partner institutes in order to publically disseminate research findings and methodologies.
Joshua C. Chang, Hongjing Xia, Ted L. Chang, Rohit Mahajan, Sonya Mahajan, Sarah Nowak, Carson C. Chow, Interpretable (not just posthoc-explainable) mediation analysis for reducing hospital acquired conditions and unplanned readmissions,* Preprint coming soon.
Hongjing Xia, Joshua C. Chang, Sarah Nowak, Rohit Mahajan, Sonya Mahajan, Ted L. Chang, Carson C. Chow. Interpretable (not just posthoc-explainable) heterogeneous survivor bias-corrected treatment effects for assignment of postdischarge interventions to prevent readmissions, arXiv:2304.09981.
Joshua C. Chang, Ted L. Chang, Carson C. Chow, Rohit Mahajan, Sonya Mahajan, Joe Maisog, Shashaank Vattikuti, Hongjing Xia, Interpretable (not just posthoc-explainable) medical claims modeling for discharge placement to reduce preventable all-cause readmissions or death, AAAI 2023 AI for Social Good Workshop arXiv:2208.12814
Joshua C. Chang, Patrick Fletcher, Jungmin Han, Ted L. Chang, Shashaank Vattikuti, Bart Desmet, Ayah Zirikly, Carson C. Chow, Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization , ICLR 2021 arXiv:2012.04171