ScoEHR

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Generating synthetic Electronic Health Records using continuous-time diffusion models.

ScoEHR 최신버젼 다운로드

최종 버전 다운로드 (.zip)

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<h1 align='center'>ScoEHR</h1>
<h3 align='center'>Generating synthetic Electronic Health Records using <br>continuous-time diffusion models</h3>

![image](https://raw.githubusercontent.com/aanaseer/ScoEHR/main/assets/scoehr-architecture.png "ScoEHR architecture.")

</div>

This repository contains the code for the paper _ScoEHR: Generating synthetic Electronic Health Records using continuous-time diffusion models_.

If you found this library useful, please cite our [paper](https://www.mlforhc.org/s/ID145_Research-Paper_2023.pdf).

```bibtex
@inproceedings{naseer2023scoehr,
  title={ScoEHR: Generating Synthetic Electronic Health Records using Continuous-time Diffusion Models},
  author={Naseer, Ahmed Ammar and Walker, Benjamin and Landon, Christopher and Ambrosy, Andrew and Fudim, Marat and Wysham, Nicholas and Toro, Botros and Swaminathan, Sumanth and Lyons, Terry},
  booktitle={Machine Learning for Healthcare Conference},
  year={2023},
  organization={PMLR}
}
```

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