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Ted L. Chang
2020 – today
- 2023
- [c2]Hongjing Xia, Joshua C. Chang, Sarah Nowak, Sonya Mahajan, Rohit Mahajan, Ted L. Chang, Carson C. Chow:
Interpretable (not just posthoc-explainable) heterogeneous survivors bias-corrected treatment effects for assignment of postdischarge interventions to prevent readmissions. MLHC 2023: 884-905 - [i3]Hongjing Xia, Joshua C. Chang
, Sarah Nowak, Sonya Mahajan, Rohit 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. CoRR abs/2304.09981 (2023) - 2022
- [i2]Joshua C. Chang, Ted L. Chang, Carson C. Chow, Rohit Mahajan, Sonya Mahajan, Shashaank Vattikuti, Hongjing Xia:
Interpretable (not just posthoc-explainable) medical claims modeling for discharge placement to prevent avoidable all-cause readmissions or death. CoRR abs/2208.12814 (2022) - 2021
- [c1]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 - 2020
- [i1]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. CoRR abs/2012.04171 (2020)
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