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Outcome-Weighted Learning for Personalized Medicine with Multiple Treatment Options.

X. Zhou, Y. Wang, и D. Zeng. DSAA, стр. 565-574. IEEE, (2018)

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Lecai Zeng

Gang Zeng

Zhenbing Zeng

Jin Zeng

Aiqun Zeng

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Asymptotic Inference for Multi-Stage Stationary Treatment Policy with High Dimensional Features.D. Gao, Y. Liu, и D. Zeng. CoRR, (2023)Outcome-Weighted Learning for Personalized Medicine with Multiple Treatment Options.X. Zhou, Y. Wang, и D. Zeng. DSAA, стр. 565-574. IEEE, (2018)Dynamic COVID risk assessment accounting for community virus exposure from a spatial-temporal transmission model.Y. Chen, W. Fei, Q. Wang, D. Zeng, и Y. Wang. NeurIPS, стр. 27747-27760. (2021)Classification and Prediction of Post-Trauma Outcomes Related to PTSD Using Circadian Rhythm Changes Measured via Wrist-Worn Research Watch in a Large Longitudinal Cohort.A. Cakmak, E. Perez-Alday, G. Poian, A. Rad, T. Metzler, T. Neylan, S. House, F. Beaudoin, X. An, J. Stevens и 38 other автор(ы). IEEE J. Biomed. Health Informatics, 25 (8): 2866-2876 (2021)Fusing Individualized Treatment Rules Using Secondary Outcomes.D. Gao, Y. Wang, и D. Zeng. AISTATS, том 238 из Proceedings of Machine Learning Research, стр. 712-720. PMLR, (2024)Representation Learning for Integrating Multi-domain Outcomes to Optimize Individualized Treatment.Y. Chen, D. Zeng, T. Xu, и Y. Wang. NeurIPS, (2020)Tumor Therapeutic Response and Vessel Tortuosity: Preliminary Report in Metastatic Breast Cancer.E. Bullitt, N. Lin, M. Ewend, D. Zeng, E. Winer, L. Carey, и J. Smith. MICCAI (2), том 4191 из Lecture Notes in Computer Science, стр. 561-568. Springer, (2006)High dimensional precision medicine from patient-derived xenografts.N. Rashid, D. Luckett, J. Chen, M. Lawson, L. Wang, Y. Zhang, E. Laber, Y. Liu, J. Yeh, D. Zeng и 1 other автор(ы). CoRR, (2019)A comparative study of mobile electronic data entry systems for clinical trials data collection.E. Cole, E. Pisano, G. Clary, D. Zeng, M. Koomen, C. Kuzmiak, B. Seo, Y. Lee, и D. Pavic. Int. J. Medical Informatics, 75 (10-11): 722-729 (2006)Learning Individualized Treatment Rules with Many Treatments: A Supervised Clustering Approach Using Adaptive Fusion.H. Ma, D. Zeng, и Y. Liu. NeurIPS, (2022)

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