An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU.
- DOI
- 10.1097/ccm.0000000000002936
- Published
- 2018 Apr
- Container
- Critical care medicine
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
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
Source records
- pubmed · retrieved 2026-09-26T20:26:13.999Z