| Survey | Authors | Year |
|---|---|---|
| Mining Electronic Health Records (EHRs): A Survey | Pranjul Yadav, Michael Steinbach, Vipin Kumar, Gyorgy Simon | 2018 |
| Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis | Benjamin Shickel, Patrick James Tighe, Azra Bihorac, Parisa Rashidi | 2017 |
| Method | Veneue | Reference | Authors | Code |
|---|---|---|---|---|
| Med-BERT | NPJ-2021 | Med-BERT: pretrained contextualized embeddings on largescale structured electronic health records for disease prediction | Laila Rasmy, Yang Xiang, Ziqian Xie, Cui Tao, Degui Zhi | GitHub |
| Clinial XLNet | CNLP-2020 | Clinical XLNet: Modeling Sequential Clinical Notes and Predicting Prolonged Mechanical Ventilation | Kexin Huang, Abhishek Singh, Sitong Chen, Edward T. Moseley, Chih-Ying Deng, Naomi George, Charlotta Lindvall | GitHub |
| ClinicalBERT | CHIL-2020 | ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission | Kexin Huang, Jaan Altosaar, Rajesh Ranganath | GitHub |
| BioBERT | NAACL-2019 | Publicly Available Clinical BERT Embeddings | Emily Alsentzer, John R. Murphy, Willie Boag, We-Hung Weng, Di Jin, Tristan Naumann, Matthew B.A. McDermott | GitHub, Hugging Face |
| Method | Veneue | Reference | Authors | Code |
|---|---|---|---|---|
| PromptEHR | EMNLP-2022 | PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning | Zifeng Wang, Jimeng Sun | GitHub |
| Method | Veneue | Reference | Authors | Code |
|---|---|---|---|---|
| EHRDiff | arXiv-2023 | EHRDIFF : Exploring Realistic EHR Synthesis with Diffusion Models | Hongyi Yuan, Songchi Zhou, Sheng Yu | Github |
| MedDiff | arXiv-2023 | MedDiff: Generating Electronic Health Records using Accelerated Denoising Diffusion Model | Huan He, Shifan Zhao, Yuanzhe Xi, Joyce Ho |
| Method | Veneue | Reference | Authors | Note |
|---|---|---|---|---|
| Survey | DS-2021 | GANs for Tabular Healthcare Data Generation: A Review on Utility and Privacy | João Coutinho-Almeida, Pedro Pereira Rodrigues, Ricardo João Cruz-Correia | 2021 |
| HALO | arXiv-2023 | Synthesize Extremely High-dimensional Longitudinal Electronic Health Records via Hierarchical Autoregressive Language Model | Brandon Theodorou, Cao Xiao, Jimeng Sun | GitHub |
| EVA | MLHC-2021 | EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders | Siddharth Biswal, Soumya Ghosh, Jon Duke, Bradley Malin, Walter Stewart, Cao Xiao, Jimeng Sun | |
| DAAE | AMIA-2020 | Generating sequential electronic health records using dual adversarial autoencoder | Dongha Lee, Hwanjo Yu, Xiaoqian Jiang, Deevakar Rogith, Meghana Gudala, Mubeen Tejani, Qiuchen Zhang, Li Xiong | |
| MedWGAN | AIMA-2019 | Synthesizing electronic health records using improved generative adversarial networks | Mrinal Kanti Baowaly, Chia-Ching Lin, Chao-Lin Liu, Kuan-Ta Chen | GitHub |
| mtGAN | BIBM-2018 | Generation of Synthetic Electronic Medical Record Text | Jiaqi Guan, Runzhe Li, Sheng Yu, Xuegong Zhang | |
| RGAN & RCGAN | arXiv-2017 | Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs | Stephanie L. Hyland, Cristóbal Esteban, Gunnar Rätsch | |
| medGAN | MLHC-2017 | Generating Multi-label Discrete Patient Records using Generative Adversarial Networks | Edward Choi, Siddharth Biswal, Bradley Malin, Jon Duke, Walter F.Stewart, Jimeng Sun | GitHub |
| Method | Veneue | Reference | Authors | Code |
|---|---|---|---|---|
| Synthea | AMIA-2018 | Synthea: An approach, method, and software mechanism for generating synthetic patients and the synthetic electronic health care record | Jason Walonoski, Mark Kramer, Joseph Nichols, Andre Quina, Chris Moesel, Dylan Hall, Carlton Duffett, Kudakwashe Dude, Thomas Gallagher, Scott McLachlan | GitHub |
| CoMSER | ICHI-2016 | Using the CareMap with Health Incidents Statistics for Generating the Realistic Synthetic Electronic Healthcare Record | Scott McLachlan, Kudakwashe Dube, Thomas Gallagher | |
| BMC-2010 | Data-driven approach for creating synthetic electronic medical records | Anna L Buczak, Steben Babin, Linda Moniz | ||
| EMERGE | JHUAPL-2008 | A Method for Generation and Distribution of Synthetic Medical Record Data for Evaluation of Disease-Monitoring Systems | Joseph S. Lombardo, Linda J. Moniz |
| Method | Veneue | Reference | Authors | Code |
|---|---|---|---|---|
| IEEE BD-2021 | A practical and universal framework for generating publicly available medical notes of authentic quality via the power of crowds | Rina Kagawa, Yukino Baba, Hideo Tsurushima | ||
| Contenxutal Autocomplete | MLHC-2020 | Fast, Structured Clinical Documentation via Contextual Autocomplete | Divya Gopinath, Monica Agrawal, Luke Murray, Steven Horng, David Karger, David Sontag | GitHub |
| Method | Veneue | Reference | Authors | Code |
|---|---|---|---|---|
| MedText | NAACL-2019 | Towards Automatic Generation of Shareable Synthetic Clinical Notes Using Neural Language Models | Oren Melamud, Chaitanya Shivade | GitHub |
| arXiv-2018 | Learning to Write Notes in Electronic Health Records | Peter J. Liu | ||
| arXiv-2018 | Towards the Creation of a Large Corpus of Synthetically-Identified Clinical Notes | Willie Boag, Tristan Naumann, Peter Szolovits |
| Benchmark | Reference | Note |
|---|---|---|
| MedNLI | Lessons from Natural Language Inference in the Clinical Domain | GitHub |