Predicting sepsis using deep learning across international sites: a 
retrospective development and validation study

Moor, Michael; Bennett, Nicolas; Plečko, Drago; Horn, Max; Rieck, Bastian; Meinshausen, Nicolai; Bühlmann, Peter; Borgwardt, Karsten

doi:10.1016/j.eclinm.2023.102124

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Predicting sepsis using deep learning across international sites: a retrospective development and validation study

Moor, M., Bennett, N., Plečko, D., Horn, M., Rieck, B., Meinshausen, N., et al. (2023). Predicting sepsis using deep learning across international sites: a retrospective development and validation study. eClinicalMedicine, 62: 102124. doi:10.1016/j.eclinm.2023.102124.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000D-D955-F Version Permalink: https://hdl.handle.net/21.11116/0000-000D-F5D4-F

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Creators:
Moor, Michael¹, Author
Bennett, Nicolas¹, Author
Plečko, Drago¹, Author
Horn, Max¹, Author
Rieck, Bastian¹, Author
Meinshausen, Nicolai¹, Author
Bühlmann, Peter¹, Author
Borgwardt, Karsten², Author

Affiliations:
1External Organizations, ou_persistent22
2ETH Zürich, ou_persistent22

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Dates: Published Online: 2023-08-11Date issued: 2023-08-11

Publication Status: Issued

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Identifiers: DOI: 10.1016/j.eclinm.2023.102124

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Title: eClinicalMedicine

Source Genre: Journal

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Pages: - Volume / Issue: 62 Sequence Number: 102124 Start / End Page: - Identifier: ISSN: 25895370