Zhaonan Sun

发表

DPVis: Visual Exploration of Disease Progression Pathways pdf

Soumya Ghosh, Kenney Ng, Vibha Anand, 2019, ArXiv.

Deep State Space Models for Computational Phenotyping

Yu Cheng, Soumya Ghosh, Zhaonan Sun, 2016, 2016 IEEE International Conference on Healthcare Informatics (ICHI).

Data-Driven Prediction of Beneficial Drug Combinations in Spontaneous Reporting Systems

Ying Li, Ping Zhang, Jianying Hu, 2016, AMIA.

Modelling the Progression of CKD with EMR Data: a Partially Hidden Markov Approach

Fei Wang, Yu Cheng, Jianying Hu, 2016, CRI.

Comparison on Confidence Bands of Decision Boundary between SVM and Logistic Regression

Xin Wang, Xing Wang, Zhaonan Sun, 2009, 2009 Fifth International Joint Conference on INC, IMS and IDC.

A Data-Driven Method for Generating Robust Symptom Onset Indicators in Disease Registry Data

Ying Li, Yu Cheng, Soumya Ghosh, 2017, American Medical Informatics Association Annual Symposium.

Statistical calibration and differential gene expression analysis of RNA-Seq data

Zhaonan Sun, 2014 .

Joint Modeling of Survival Events through Multi-task Learning Framework

Ping Zhang, Xu Liu, Jianying Hu, 2016, AMIA.

LINKAGE: An Approach for Comprehensive Risk Prediction for Care Management

Fei Wang, Jianying Hu, Zhaonan Sun, 2015, KDD.

A probabilistic disease progression modeling approach and its application to integrated Huntington’s disease observational data

Ying Li, Yu Cheng, Soumya Ghosh, 2019, JAMIA open.

Systematic comparison of RNA-Seq normalization methods using measurement error models

Yu Zhu, Zhaonan Sun, Y. Zhu, 2012, Bioinform..

Exploiting Convolutional Neural Network for Risk Prediction with Medical Feature Embedding pdf

Yu Cheng, Yan Liu, Zhengping Che, 2017, ArXiv.

Exploring Factors that Associated with Missing Values in Observational Huntington's Disease Study Data

Ying Li, Yu Cheng, Soumya Ghosh, 2017, Summit on Clinical Research Informatics.

An Exploration of Latent Structure in Observational Huntington’s Disease Studies

Ying Li, Yu Cheng, Soumya Ghosh, 2017, CRI.

Early Prediction of Diabetes Complications from Electronic Health Records: A Multi-Task Survival Analysis Approach

Ying Li, Bin Liu, Soumya Ghosh, 2018, AAAI.

Bayesian inference with historical data-based informative priors improves detection of differentially expressed genes

Pak Ching Li, Qing He, Yu Zhu, 2016, Bioinform..

Complication Risk Profiling in Diabetes Care: A Bayesian Multi-Task and Feature Relationship Learning Approach pdf

Ying Li, Bin Liu, Soumya Ghosh, 2018, IEEE Transactions on Knowledge and Data Engineering.

Towards Computational Drug Repositioning: A Comparative Study of Single-task and Multi-task Learning

Ping Zhang, Fei Wang, Jianying Hu, 2015, AMIA.

Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records

Yu Cheng, Yan Liu, Zhengping Che, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

Bootstrap-based Feature Selection to Balance Model Discrimination and Predictor Significance: A Study of Stroke Prediction in Atrial Fibrillation

Gang Hu, Haifeng Liu, Xiang Li, 2017, AMIA.

Development and validation of the 3D U-Net algorithm for segmentation of pelvic lymph nodes on diffusion-weighted images

Zhaonan Sun, Jiahao Huang, Xiang Liu, 2021, BMC Medical Imaging.

Deep Staging: An Interpretable Deep Learning Framework for Disease Staging

Zhaonan Sun, Jing Gao, Zijun Yao, 2021, 2021 IEEE 9th International Conference on Healthcare Informatics (ICHI).

G-Computation and Hierarchical Models for Estimating Multiple Causal Effects From Observational Disease Registries With Irregular Visits.

Jianying Hu, Zhaonan Sun, Ying Li, 2019, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.