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

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

6 September 2017

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

17 / 17 papers shown

Title
Diffusion Transformers for Tabular Data Time Series Generation Fabrizio Garuti E. Sangineto Simone Luetto L. Forni Rita Cucchiara 61 0 0 10 Apr 2025
A Systematic Review of NLP for Dementia -- Tasks, Datasets and Opportunities Lotem Peled-Cohen Roi Reichart 39 0 0 29 Sep 2024
Towards Diverse and Coherent Augmentation for Time-Series Forecasting Xiyuan Zhang Ranak Roy Chowdhury Jingbo Shang Rajesh K. Gupta Dezhi Hong AI4TS 32 4 0 24 Mar 2023
Non-Imaging Medical Data Synthesis for Trustworthy AI: A Comprehensive Survey Xiaodan Xing Huanjun Wu Lichao Wang Iain Stenson M. Yong Javier Del Ser Simon Walsh Guang Yang 26 7 0 17 Sep 2022
A Multifaceted Benchmarking of Synthetic Electronic Health Record Generation Models Chao Yan Yao Yan Zhiyu Wan Ziqi Zhang L. Omberg J. Guinney S. Mooney B. Malin SyDa 31 65 0 02 Aug 2022
Multi-Label Clinical Time-Series Generation via Conditional GAN C. Lu Chandan K. Reddy Ping Wang Dong Nie Yue Ning SyDa 32 25 0 10 Apr 2022
A review of Generative Adversarial Networks for Electronic Health Records: applications, evaluation measures and data sources Ghadeer O. Ghosheh Jin Li T. Zhu 35 32 0 14 Mar 2022
Label Dependent Attention Model for Disease Risk Prediction Using Multimodal Electronic Health Records Shuai Niu Qing Yin Yunya Song Yike Guo Xian Yang 29 10 0 18 Jan 2022
Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies F. Xie Han Yuan Yilin Ning M. Ong Mengling Feng W. Hsu B. Chakraborty Nan Liu 27 83 0 21 Jul 2021
Blockchain and AI-based Solutions to Combat Coronavirus (COVID-19)-like Epidemics: A Survey Dinh C. Nguyen Ming Ding P. Pathirana Aruna Seneviratne 28 179 0 28 Jun 2021
Self-Supervised Graph Learning with Hyperbolic Embedding for Temporal Health Event Prediction Chang Lu Chandan K. Reddy Yue Ning 22 27 0 09 Jun 2021
Deep learning for time series classification Hassan Ismail Fawaz BDL AI4TS 43 35 0 01 Oct 2020
Synthetic Observational Health Data with GANs: from slow adoption to a boom in medical research and ultimately digital twins? Jeremy Georges-Filteau Elisa Cirillo SyDa AI4CE 36 17 0 27 May 2020
Modeling Tabular data using Conditional GAN Lei Xu Maria Skoularidou Alfredo Cuesta-Infante K. Veeramachaneni CML MU SyDa GAN 51 1,206 0 01 Jul 2019
Time-Discounting Convolution for Event Sequences with Ambiguous Timestamps Takayuki Katsuki Takayuki Osogami Akira Koseki Masaki Ono M. Kudo M. Makino Atsushi Suzuki AI4TS 9 1 0 06 Dec 2018
Deep learning for time series classification: a review Hassan Ismail Fawaz Germain Forestier J. Weber L. Idoumghar Pierre-Alain Muller AI4TS AI4CE 98 2,650 0 12 Sep 2018
Deep Learning in Pharmacogenomics: From Gene Regulation to Patient Stratification Alexandr A Kalinin Gerald A. Higgins Narathip Reamaroon S. M. Reza Soroushmehr Ari Allyn-Feuer I. Dinov Kayvan Najarian B. Athey OOD 36 122 0 25 Jan 2018