Development and Validation of an Interpretable Machine Learning Model to Predict Mortality in Patients With Sepsis-Induced Coagulopathy: Multicenter Cohort Study.

Sun J, Wang J, Dong Y, Liu J, Ding Y, Fan S, Chen D, Shou S

Open source

DOI
10.2196/90285
Published
2026 Sep 21
Container
JMIR medical informatics
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.2196/90285,
  title = {Development and Validation of an Interpretable Machine Learning Model to Predict Mortality in Patients With Sepsis-Induced Coagulopathy: Multicenter Cohort Study.},
  author = {Sun J and Wang J and Dong Y and Liu J and Ding Y and Fan S and Chen D and Shou S},
  year = {2026},
  journal = {JMIR medical informatics},
  doi = {10.2196/90285},
  url = {https://doi.org/10.2196/90285}
}

RIS

TY  - JOUR
TI  - Development and Validation of an Interpretable Machine Learning Model to Predict Mortality in Patients With Sepsis-Induced Coagulopathy: Multicenter Cohort Study.
AU  - Sun J
AU  - Wang J
AU  - Dong Y
AU  - Liu J
AU  - Ding Y
AU  - Fan S
AU  - Chen D
AU  - Shou S
PY  - 2026
JO  - JMIR medical informatics
DO  - 10.2196/90285
UR  - https://doi.org/10.2196/90285
ER  - 

APA

J, S., J, W., Y, D., J, L., Y, D., S, F., D, C., & S, S. (2026). Development and Validation of an Interpretable Machine Learning Model to Predict Mortality in Patients With Sepsis-Induced Coagulopathy: Multicenter Cohort Study.. JMIR medical informatics. https://doi.org/10.2196/90285

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