Data for the Datathon

During the datathon, teams will have access to 3 de-identified EMR datasets. Teams may choose to use one or all of these datasets to answer their clinical questions. In particular, these three datasets are: 1) the Medical Information Mart for Intensive Care (MIMIC)-IV Database from Physionet 2) the Philips eICU Collaborative Research Database (https://eicu-crd.mit.edu/). These three databases share similar data schemas. They contain hourly physiologic readings from bedside monitors, validated by ICU nurses. They also contain records of demographics, labs, nursing progress notes, discharge summaries, IV medications, fluid balance, and other clinical variables.

Introduction & Access Application: https://mimic-iv.mit.edu/

Github repository: https://github.com/MIT-LCP/mimic-iv

Documentation: https://mimic-iv.mit.edu/docs/

When using this resource, please cite:
Johnson, A., Bulgarelli, L., Pollard, T., Horng, S., Celi, L. A., & Mark, R. (2020). MIMIC-IV (version 0.4). PhysioNet. https://doi.org/10.13026/a3wn-hq05.

Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P. C., Mark, R., ... & Stanley, H. E. (2000). PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220.

Introduction & Documentation: https://eicu-crd.mit.edu/about/eicu/

Github repository: https://github.com/mit-eicu/eicu-code

Example code: https://github.com/mit-eicu/eicu-code/blob/master/concepts/icustay_detail.sql

When using this resource, please cite:
Pollard, T., Johnson, A., Raffa, J., Celi, L. A., Badawi, O., & Mark, R. (2019). eICU Collaborative Research Database (version 2.0). PhysioNet. https://doi.org/10.13026/C2WM1R.

The eICU Collaborative Research Database, a freely available multi-center database for critical care research. Pollard TJ, Johnson AEW, Raffa JD, Celi LA, Mark RG and Badawi O. Scientific Data (2018). DOI: http://dx.doi.org/10.1038/sdata.2018.178.

Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P. C., Mark, R., ... & Stanley, H. E. (2000). PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220.

Wi will provide a large collection of  medical image datasets will be provided to all teams.

Introduction & Documentation: https://physionet.org/content/mimic-cxr/2.0.0/

When using this resource, please cite:

Johnson AE, Pollard TJ, Berkowitz SJ, Greenbaum NR, Lungren MP, Deng CY, Mark RG, Horng S. MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports. Scientific Data. 2019;6.

Introduction & Documentation: http://medicaldecathlon.com/

When using this resource, please cite:

https://arxiv.org/abs/1902.09063

Introduction & Documentation: https://www.kaggle.com/nih-chest-xrays/data

When using this resource, please cite:

http://openaccess.thecvf.com/content_cvpr_2017/papers/Wang_ChestX-ray8_Hospital-Scale_Chest_CVPR_2017_paper.pdf(link is external)

Introduction & Documentation: https://dfu-challenge.github.io/

When using this resource, please cite:

https://arxiv.org/pdf/2004.11853.pdf

Introduction & Documentation: https://autoimplant.grand-challenge.org/

When using this resource, please cite:

https://arxiv.org/pdf/2006.00980.pdf

Introduction & Documentation: https://osf.io/nqjyw/

When using this resource, please cite:

https://arxiv.org/pdf/2001.09193.pdf

Introduction & Documentation: https://osf.io/t98fz/

When using this resource, please cite:

https://arxiv.org/pdf/2001.09193.pdf

Introduction & Documentation: https://ribfrac.grand-challenge.org/

When using this resource, please cite:

Deep-Learning-Assisted Detection and Segmentation of Rib Fractures from CT Scans: Development and Validation of FracNet(In press)

Introduction & Documentation: http://emidec.com/

When using this resource, please cite:

https://www.mdpi.com/2306-5729/5/4/89

Introduction & Documentation: https://www.med.upenn.edu/cbica/brats2020/data.html

When using this resource, please cite:

https://pubmed.ncbi.nlm.nih.gov/25494501/

https://pubmed.ncbi.nlm.nih.gov/28872634/

https://arxiv.org/abs/1811.02629

Introduction & Documentation: https://www.aicrowd.com/challenges/miccai-2020-hecktor

When using this resource, please cite: https://github.com/voreille/hecktor

Introduction & Documentation: https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia

When using this resource, please cite: http://www.cell.com/cell/fulltext/S0092-8674(18)30154-5

Introduction & Documentation: https://www.kaggle.com/c/diabetic-retinopathy-detection/data

When using this resource, please cite: http://www.eyepacs.com/

Introduction & Documentation: http://www.adcis.net/en/third-party/messidor/

When using this resource, please cite:

http://www.ias-iss.org/ojs/IAS/article/view/1155
http://dx.doi.org/10.5566/ias.1155.

Introduction & Documentation: http://www.adcis.net/en/third-party/messidor2/

When using this resource, please cite:

http://www.ias-iss.org/ojs/IAS/article/view/1155
http://dx.doi.org/10.5566/ias.1155.

Introduction & Documentation: https://saras-mesad.grand-challenge.org/

When using this resource, please cite:

https://arxiv.org/abs/2104.03178
https://arxiv.org/abs/2006.07164

Introduction & Documentation: https://paip2019.grand-challenge.org/ https://paip2020.grand-challenge.org/

When using this resource, please cite:

https://www.sciencedirect.com/science/article/pii/S235230421930100X

https://pubmed.ncbi.nlm.nih.gov/27128298/
https://pubmed.ncbi.nlm.nih.gov/31722452/

https://pubmed.ncbi.nlm.nih.gov/31096734/

https://www.nature.com/articles/s41591-019-0462-y

Introduction & Documentation: http://hardi.epfl.ch/static/events/2021_challenge/

When using this resource, please cite:

https://www.frontiersin.org/articles/10.3389/fninf.2020.00008/full

https://pubmed.ncbi.nlm.nih.gov/19361565/

https://pubmed.ncbi.nlm.nih.gov/20580932/

Introduction & Documentation: http://hardi.epfl.ch/static/events/2021_challenge/

When using this resource, please cite:

https://www.frontiersin.org/articles/10.3389/fninf.2020.00008/full

https://pubmed.ncbi.nlm.nih.gov/19361565/

Introduction & Documentation: https://stanfordmlgroup.github.io/competitions/chexpert/

When using this resource, please cite:

https://arxiv.org/abs/1901.07031?utm_medium=email&utm_source=transaction