Interpretable Multi-Task Deep Neural Networks for Dynamic Predictions of Postoperative Complications

A large retrospective cohort of 43,943 adult patients undergoing 52,529 major inpatient surgeries.

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Cite this as

Benjamin Shickela, Tyler J. Loftus, Shounak Datta, Tezcan Ozrazgat-Baslantic, Azra Bihorac, Parisa Rashid (2024). Dataset: Interpretable Multi-Task Deep Neural Networks for Dynamic Predictions of Postoperative Complications. https://doi.org/10.57702/cntxn901

DOI retrieved: December 2, 2024

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Created December 2, 2024
Last update December 2, 2024
Author Benjamin Shickela
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Tyler J. Loftus
Shounak Datta
Tezcan Ozrazgat-Baslantic
Azra Bihorac
Parisa Rashid
Homepage https://academic.oup.com/annsurgb/article/147/3/432/5731116