Effects of reactive social distancing on the 1918 influenza pandemic D Yu, Q Lin, APY Chiu, D He PloS one 12 (7), e0180545, 2017 | 67 | 2017 |
Patterns of influenza vaccination coverage in the United States from 2009 to 2015 APY Chiu, J Dushoff, D Yu, D He International Journal of Infectious Diseases 65, 122-127, 2017 | 29 | 2017 |
Machine learning prediction of the adverse outcome for nontraumatic subarachnoid hemorrhage patients D Yu, GW Williams, D Aguilar, JM Yamal, V Maroufy, X Wang, C Zhang, ... Annals of Clinical and Translational Neurology 7 (11), 2178-2185, 2020 | 22 | 2020 |
Vasopressor treatment and mortality following nontraumatic subarachnoid hemorrhage: a nationwide electronic health record analysis G Williams, V Maroufy, L Rasmy, D Brown, D Yu, H Zhu, Y Talebi, X Wang, ... Neurosurgical Focus 48 (5), E4, 2020 | 16 | 2020 |
Assessing effects of reopening policies on COVID-19 pandemic in Texas with a data-driven transmission model D Yu, G Zhu, X Wang, C Zhang, B Soltanalizadeh, X Wang, S Tang, H Wu Infectious Disease Modelling 6, 461-473, 2021 | 9 | 2021 |
Spatio-temporal patterns of proportions of influenza B cases D He, APY Chiu, Q Lin, D Yu Scientific reports 7 (1), 40085, 2017 | 7 | 2017 |
Variable importance evaluation with personalized odds ratio for machine learning model interpretability with applications to electronic health records‐based mortality prediction D Yu, H Wu Statistics in Medicine 42 (6), 761-780, 2023 | 4 | 2023 |
EHR data pre-processing and preparation D Yu, X Wang, H Wu Statistics and Machine Learning Methods for EHR Data, 111-147, 2020 | 3 | 2020 |
Neural generalized ordinary differential equations with layer-varying parameters D Yu, H Miao, H Wu arXiv preprint arXiv:2209.10633, 2022 | 2 | 2022 |
Machine learning to predict mortality for aneurysmal subarachnoid hemorrhage (aSAH) using a large nationwide EHR database G Zhu, A Yuan, D Yu, A Zha, H Wu PLOS Digital Health 2 (12), e0000400, 2023 | 1 | 2023 |
Neural Network and Deep Learning Methods for EHR Data D Yu, A Yaseen, X Luo Statistics and Machine Learning Methods for EHR Data, 253-271, 2020 | 1 | 2020 |
Machine learning identifies prognostic subtypes of the tumor microenvironment of NSCLC D Yu, MJ Kane, EJ Koay, II Wistuba, BP Hobbs Scientific reports 14 (1), 15004, 2024 | | 2024 |
Use of Real-World EMR Data to Rapidly Evaluate Treatment Effects of Existing Drugs for Emerging Infectious Diseases: Remdesivir for COVID-19 Treatment as an Example C Zhang, M Nigo, S Patel, D Yu, E Septimus, H Wu Statistics in Biosciences, 1-30, 2024 | | 2024 |
Causal Inference and Analysis for EHR Data SM DeSantis, M Xiong, JM Yamal, G Zhu, D Yu, X Wang, C Zhang, VK Ly Statistics and Machine Learning Methods for EHR Data, 175-224, 2020 | | 2020 |