Logistic regression and machine learning predicted patient mortality from large sets of diagnosis codes comparably.
- DOI
- 10.1016/j.jclinepi.2020.12.018
- Published
- 2021 May
- Container
- Journal of clinical epidemiology
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jclinepi.2020.12.018,
title = {Logistic regression and machine learning predicted patient mortality from large sets of diagnosis codes comparably.},
author = {Cowling TE and Cromwell DA and Bellot A and Sharples LD and van der Meulen J},
year = {2021},
journal = {Journal of clinical epidemiology},
doi = {10.1016/j.jclinepi.2020.12.018},
url = {https://doi.org/10.1016/j.jclinepi.2020.12.018}
}RIS
TY - JOUR TI - Logistic regression and machine learning predicted patient mortality from large sets of diagnosis codes comparably. AU - Cowling TE AU - Cromwell DA AU - Bellot A AU - Sharples LD AU - van der Meulen J PY - 2021 JO - Journal of clinical epidemiology DO - 10.1016/j.jclinepi.2020.12.018 UR - https://doi.org/10.1016/j.jclinepi.2020.12.018 ER -
APA
TE, C., DA, C., A, B., LD, S., & J, V. D. M. (2021). Logistic regression and machine learning predicted patient mortality from large sets of diagnosis codes comparably.. Journal of clinical epidemiology. https://doi.org/10.1016/j.jclinepi.2020.12.018
Source records
- pubmed · retrieved 2026-09-27T09:22:42.720Z