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Plos One|July 12, 2021
Understanding and predicting COVID-19 clinical trial completion vs. cessationMagdalyn E Elkin, Xingquan ZhuNetwork Modeling and Analysis in Health Informatics and Bioinformatics|July 13, 2021
Community and topic modeling for infectious disease clinical trial recommendationMagdalyn E Elkin, Xingquan ZhuScientific Reports|February 11, 2021
Predictive modeling of clinical trial terminations using feature engineering and embedding learningMagdalyn E Elkin, Xingquan ZhuSmart Health (Amsterdam, Netherlands)|October 25, 2022
A machine learning study of COVID-19 serology and molecular tests and predictionsMagdalyn E Elkin, Xingquan ZhuCommunications Biology|January 21, 2025
Paying attention to the SARS-CoV-2 dialect : a deep neural network approach to predicting novel protein mutationsMagdalyn E Elkin, Xingquan ZhuDevelopmental Psychobiology|February 13, 2014
Sensory system development influences the ontogeny of eyeblink conditioningMary E Goldsberry, Magdalyn E Elkin, John H FreemanIEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society|June 30, 2011
Cross-Domain Semi-Supervised Learning Using Feature FormulationXingquan ZhuIEEE/ACM Transactions on Computational Biology and Bioinformatics|June 16, 2021
Predictive Modeling of Hospital Readmission: Challenges and SolutionsShuwen Wang, Xingquan ZhuHealth Information Science and Systems|September 6, 2022
Nationwide hospital admission data statistics and disease-specific 30-day readmission predictionShuwen Wang, Xingquan ZhuPlos One|July 3, 2023
FedDNA: Federated learning using dynamic node alignmentShuwen Wang, Xingquan ZhuPageof 6