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Zhaonan Sun
Zhaonan Sun
IBM Research, Biogen
E-mail confirmado em biogen.com - Página inicial
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Multiple kernel learning and the SMO algorithm
Z Sun, N Ampornpunt, M Varma, S Vishwanathan
Advances in neural information processing systems 23, 2010
2262010
Boosting deep learning risk prediction with generative adversarial networks for electronic health records
Z Che, Y Cheng, S Zhai, Z Sun, Y Liu
2017 IEEE International Conference on Data Mining (ICDM), 787-792, 2017
1812017
Exploiting convolutional neural network for risk prediction with medical feature embedding
Z Che, Y Cheng, Z Sun, Y Liu
arXiv preprint arXiv:1701.07474, 2017
632017
DPVis: Visual analytics with hidden markov models for disease progression pathways
BC Kwon, V Anand, KA Severson, S Ghosh, Z Sun, BI Frohnert, ...
IEEE transactions on visualization and computer graphics 27 (9), 3685-3700, 2020
622020
Early prediction of diabetes complications from electronic health records: A multi-task survival analysis approach
B Liu, Y Li, Z Sun, S Ghosh, K Ng
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
432018
A probabilistic disease progression modeling approach and its application to integrated Huntington’s disease observational data
Z Sun, S Ghosh, Y Li, Y Cheng, A Mohan, C Sampaio, J Hu
JAMIA open 2 (1), 123-130, 2019
392019
Systematic comparison of RNA-Seq normalization methods using measurement error models
Z Sun, Y Zhu
Bioinformatics 28 (20), 2584-2591, 2012
362012
Quantification of uncertainty in estimated nitrate-N loads in agricultural watersheds
Y Jiang, JR Frankenberger, LC Bowling, Z Sun
Journal of Hydrology 519, 106-116, 2014
292014
Complication risk profiling in diabetes care: A Bayesian multi-task and feature relationship learning approach
B Liu, Y Li, S Ghosh, Z Sun, K Ng, J Hu
IEEE Transactions on Knowledge and Data Engineering 32 (7), 1276-1289, 2019
242019
A machine‐learning derived Huntington's disease progression model: insights for clinical trial design
A Mohan, Z Sun, S Ghosh, Y Li, S Sathe, J Hu, C Sampaio
Movement Disorders 37 (3), 553-562, 2022
232022
LINKAGE: An approach for comprehensive risk prediction for care management
Z Sun, F Wang, J Hu
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
172015
Bayesian inference with historical data-based informative priors improves detection of differentially expressed genes
B Li, Z Sun, Q He, Y Zhu, ZS Qin
Bioinformatics 32 (5), 682-689, 2016
142016
An exploration of latent structure in observational Huntington’s disease studies
S Ghosh, Z Sun, Y Li, Y Cheng, A Mohan, C Sampaio, J Hu
AMIA Summits on Translational Science Proceedings 2017, 92, 2017
102017
Data-Driven Prediction of Beneficial Drug Combinations in Spontaneous Reporting Systems
Y Li, P Zhang, Z Sun, J Hu
American Medical Informatics Association Summit on Clinical Research …, 2016
92016
A data-driven method for generating robust symptom onset indicators in Huntington’s disease registry data
Z Sun, Y Li, S Ghosh, Y Cheng, A Mohan, C Sampaio, J Hu
AMIA Annual Symposium Proceedings 2017, 1635, 2017
82017
Data-driven prediction of drug combinations that mitigate adverse drug reactions
J Hu, Y Li, Z Sun, P Zhang
US Patent 10,490,301, 2019
72019
G-computation and hierarchical models for estimating multiple causal effects from observational disease registries with irregular visits
Z Shahn, Y Li, Z Sun, A Mohan, C Sampaio, J Hu
AMIA Summits on Translational Science Proceedings 2019, 789, 2019
72019
From good to great: nonlinear improvement of healthcare service
S Liu, J Chen, Z Sun, MY Zhu
International Journal of Pharmaceutical and Healthcare Marketing 12 (4), 391-408, 2018
62018
Deep state space models for computational phenotyping
S Ghosh, Y Cheng, Z Sun
2016 IEEE international conference on healthcare informatics (ICHI), 399-402, 2016
62016
Method for proactive comprehensive geriatric risk screening
J Hu, Z Sun, F Wang
US Patent 10,535,424, 2020
52020
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