Early prediction of circulatory failure in the intensive care unit using machine learning

By Stephanie L. Hyland, M. Faltys, Matthias Hüser, Xinrui Lyu, Thomas Gumbsch, Cristóbal Esteban, Christian Bock, Max Horn, Michael Moor, Bastian Rieck and 5 more. Nature Medicine, 2020

430 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Epidemiology, Surgery

View Paper: https://www.semanticscholar.org/paper/5e34d633a076f9df0227f8e2e05cfd76e33f2960

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Leo Anthony Celi
2. R. Mark
3. Li-wei H. Lehman
4. Alistair E. W. Johnson
5. Steven Horng
6. Tom J. Pollard
7. Dianbo Liu

In Epidemiology

1. Alistair E. W. Johnson
2. R. Mark
3. Steven Horng
4. Tom J. Pollard
5. Leo Anthony Celi
6. Dianbo Liu
7. Fei Wang
8. Jimeng Sun

In Surgery

1. Alistair E. W. Johnson
2. Leo Anthony Celi
3. Dianbo Liu
4. Fei Wang
5. Jimeng Sun
6. Mihaela van der Schaar
7. Finale Doshi-Velez
8. Chao Yu

Citations in the corpus

• MIMIC-IV, a freely accessible electronic health record dataset (2023, background): “The HiRID database contains high-resolution data for almost 34,000 admissions between 2008–2016 at Bern University Hospital in Switzerland 6,7 .”