Dynamic Bayesian networks to predict loss of kidney function: a cross-institution use case in a large cohort with or at-risk of CKD
- DOI
- 10.1186/s12911-026-03570-6
- Published
- 5
- Container
- BMC Medical Informatics and Decision Making
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1186/s12911-026-03570-6,
title = {Dynamic Bayesian networks to predict loss of kidney function: a cross-institution use case in a large cohort with or at-risk of CKD},
author = {Panayiotis Petousis and David Gordon and O. Kenrik. Duru and Keith C. Norris and Katherine R. Tuttle and Susanne B. Nicholas and Alex A. T. Bui},
year = {2026},
journal = {BMC Medical Informatics and Decision Making},
doi = {10.1186/s12911-026-03570-6},
url = {https://doi.org/10.1186/s12911-026-03570-6}
}RIS
TY - JOUR TI - Dynamic Bayesian networks to predict loss of kidney function: a cross-institution use case in a large cohort with or at-risk of CKD AU - Panayiotis Petousis AU - David Gordon AU - O. Kenrik. Duru AU - Keith C. Norris AU - Katherine R. Tuttle AU - Susanne B. Nicholas AU - Alex A. T. Bui PY - 2026 JO - BMC Medical Informatics and Decision Making DO - 10.1186/s12911-026-03570-6 UR - https://doi.org/10.1186/s12911-026-03570-6 ER -
APA
Petousis, P., Gordon, D., Duru, O. K., Norris, K. C., Tuttle, K. R., Nicholas, S. B., & Bui, A. A. T. (2026). Dynamic Bayesian networks to predict loss of kidney function: a cross-institution use case in a large cohort with or at-risk of CKD. BMC Medical Informatics and Decision Making. https://doi.org/10.1186/s12911-026-03570-6
Source records
- doaj · retrieved 2026-09-27T04:04:10.395Z