Service-Specific Heterogeneity in Sepsis Variable Significance and Machine Learning Model Performance: A Stratified Analysis of the BIAlert Cohort.
- DOI
- 10.3390/jcm15134904
- Published
- 2026 Jun 24
- Container
- Journal of clinical medicine
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/jcm15134904,
title = {Service-Specific Heterogeneity in Sepsis Variable Significance and Machine Learning Model Performance: A Stratified Analysis of the BIAlert Cohort.},
author = {Borges-Sa M and Macias-Fassio E and Delgado A and Salas-Sosa S and Aranda M and Socias A and Del Castillo A and Giglio A},
year = {2026},
journal = {Journal of clinical medicine},
doi = {10.3390/jcm15134904},
url = {https://doi.org/10.3390/jcm15134904}
}RIS
TY - JOUR TI - Service-Specific Heterogeneity in Sepsis Variable Significance and Machine Learning Model Performance: A Stratified Analysis of the BIAlert Cohort. AU - Borges-Sa M AU - Macias-Fassio E AU - Delgado A AU - Salas-Sosa S AU - Aranda M AU - Socias A AU - Del Castillo A AU - Giglio A PY - 2026 JO - Journal of clinical medicine DO - 10.3390/jcm15134904 UR - https://doi.org/10.3390/jcm15134904 ER -
APA
M, B., E, M., A, D., S, S., M, A., A, S., A, D. C., & A, G. (2026). Service-Specific Heterogeneity in Sepsis Variable Significance and Machine Learning Model Performance: A Stratified Analysis of the BIAlert Cohort.. Journal of clinical medicine. https://doi.org/10.3390/jcm15134904
Source records
- pubmed · retrieved 2026-09-26T12:23:02.470Z