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

2017 IEEE International Conference on Data Mining (ICDM) ◽

10.1109/icdm.2017.93 ◽

2017 ◽

Cited By ~ 18

Author(s):

Zhengping Che ◽

Yu Cheng ◽

Shuangfei Zhai ◽

Zhaonan Sun ◽

Yan Liu

Keyword(s):

Deep Learning ◽

Electronic Health Records ◽

Risk Prediction ◽

Generative Adversarial Networks ◽

Health Records ◽

Adversarial Networks ◽

Electronic Health

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Grouped Correlational Generative Adversarial Networks for Discrete Electronic Health Records

2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) ◽

10.1109/bibm47256.2019.8983215 ◽

2019 ◽

Author(s):

Fan Yang ◽

Zhongping Yu ◽

Yunfan Liang ◽

Xiaolu Gan ◽

Kaibiao Lin ◽

...

Keyword(s):

Electronic Health Records ◽

Generative Adversarial Networks ◽

Health Records ◽

Adversarial Networks ◽

Electronic Health

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A Regularized Deep Learning Approach for Clinical Risk Prediction of Acute Coronary Syndrome Using Electronic Health Records

IEEE Transactions on Biomedical Engineering ◽

10.1109/tbme.2017.2731158 ◽

2018 ◽

Vol 65 (5) ◽

pp. 956-968 ◽

Cited By ~ 13

Author(s):

Zhengxing Huang ◽

Wei Dong ◽

Huilong Duan ◽

Jiquan Liu

Keyword(s):

Acute Coronary Syndrome ◽

Deep Learning ◽

Electronic Health Records ◽

Risk Prediction ◽

Learning Approach ◽

Health Records ◽

Coronary Syndrome ◽

Clinical Risk ◽

Electronic Health

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Risk Prediction with Electronic Health Records: A Deep Learning Approach

Proceedings of the 2016 SIAM International Conference on Data Mining ◽

10.1137/1.9781611974348.49 ◽

2016 ◽

Cited By ~ 81

Author(s):

Yu Cheng ◽

Fei Wang ◽

Ping Zhang ◽

Jianying Hu

Keyword(s):

Deep Learning ◽

Electronic Health Records ◽

Risk Prediction ◽

Learning Approach ◽

Health Records ◽

Electronic Health

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A Multi-Center Study of COVID-19 Patient Prognosis Using Deep Learning-based CT Image Analysis and Electronic Health Records

European Journal of Radiology ◽

10.1016/j.ejrad.2021.109583 ◽

2021 ◽

pp. 109583

Author(s):

Kuang Gong ◽

Dufan Wu ◽

Chiara Daniela Arru ◽

Fatemeh Homayounieh ◽

Nir Neumark ◽

...

Keyword(s):

Image Analysis ◽

Deep Learning ◽

Electronic Health Records ◽

Ct Image ◽

Health Records ◽

Electronic Health ◽

Ct Image Analysis ◽

Patient Prognosis ◽

Multi Center Study ◽

Center Study

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HiTANet: Hierarchical Time-Aware Attention Networks for Risk Prediction on Electronic Health Records

Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining ◽

10.1145/3394486.3403107 ◽

2020 ◽

Author(s):

Junyu Luo ◽

Muchao Ye ◽

Cao Xiao ◽

Fenglong Ma

Keyword(s):

Electronic Health Records ◽

Risk Prediction ◽

Health Records ◽

Attention Networks ◽

Electronic Health ◽

Time Aware

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Deep Learning Based Temporal Information Extraction Framework on Chinese Electronic Health Records

Web Information Systems and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-030-02934-0_19 ◽

2018 ◽

pp. 203-214 ◽

Cited By ~ 2

Author(s):

Bing Tian ◽

Chunxiao Xing

Keyword(s):

Deep Learning ◽

Electronic Health Records ◽

Information Extraction ◽

Temporal Information ◽

Health Records ◽

Electronic Health ◽

Temporal Information Extraction

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Predicting the onset of type 2 diabetes using wide and deep learning with electronic health records

Computer Methods and Programs in Biomedicine ◽

10.1016/j.cmpb.2019.105055 ◽

2019 ◽

Vol 182 ◽

pp. 105055 ◽

Cited By ~ 14

Author(s):

Binh P. Nguyen ◽

Hung N. Pham ◽

Hop Tran ◽

Nhung Nghiem ◽

Quang H. Nguyen ◽

...

Keyword(s):

Type 2 Diabetes ◽

Deep Learning ◽

Electronic Health Records ◽

Health Records ◽

Electronic Health

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Reinforced risk prediction with budget constraint using irregularly measured data from electronic health records

Journal of the American Statistical Association ◽

10.1080/01621459.2021.1978467 ◽

2021 ◽

pp. 1-24

Author(s):

Yinghao Pan ◽

Eric B. Laber ◽

Maureen A. Smith ◽

Ying-Qi Zhao

Keyword(s):

Electronic Health Records ◽

Risk Prediction ◽

Budget Constraint ◽

Measured Data ◽

Health Records ◽

Electronic Health

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Introduction to Artificial Intelligence and Deep Learning with a Case Study in Analyzing Electronic Health Records for Drug Development

Real-World Evidence in Drug Development and Evaluation ◽

10.1201/9780429398674-8 ◽

2021 ◽

pp. 151-172

Author(s):

Xiaomao Li ◽

Qi Tang

Keyword(s):

Artificial Intelligence ◽

Deep Learning ◽

Electronic Health Records ◽

Drug Development ◽

Health Records ◽

Electronic Health

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Readmission prediction using deep learning on electronic health records

Journal of Biomedical Informatics ◽

10.1016/j.jbi.2019.103256 ◽

2019 ◽

Vol 97 ◽

pp. 103256 ◽

Cited By ~ 11

Author(s):

Awais Ashfaq ◽

Anita Sant’Anna ◽

Markus Lingman ◽

Sławomir Nowaczyk

Keyword(s):

Deep Learning ◽

Electronic Health Records ◽

Health Records ◽

Electronic Health

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