An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU.

Nemati S, Holder A, Razmi F, Stanley MD, Clifford GD, Buchman TG

Open source

DOI
10.1097/ccm.0000000000002936
Published
2018 Apr
Container
Critical care medicine
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1097/ccm.0000000000002936,
  title = {An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU.},
  author = {Nemati S and Holder A and Razmi F and Stanley MD and Clifford GD and Buchman TG},
  year = {2018},
  journal = {Critical care medicine},
  doi = {10.1097/ccm.0000000000002936},
  url = {https://doi.org/10.1097/ccm.0000000000002936}
}

RIS

TY  - JOUR
TI  - An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU.
AU  - Nemati S
AU  - Holder A
AU  - Razmi F
AU  - Stanley MD
AU  - Clifford GD
AU  - Buchman TG
PY  - 2018
JO  - Critical care medicine
DO  - 10.1097/ccm.0000000000002936
UR  - https://doi.org/10.1097/ccm.0000000000002936
ER  - 

APA

S, N., A, H., F, R., MD, S., GD, C., & TG, B. (2018). An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU.. Critical care medicine. https://doi.org/10.1097/ccm.0000000000002936

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