Development and validation of supervised machine learning multivariable prediction models for the diagnosis of <i>Pneumocystis jirovecii</i> pneumonia using nasopharyngeal swab PCR in adults in a low-HIV prevalence setting
- DOI
- 10.1093/inthealth/ihae052
- Published
- 2024-08-29
- Container
- International Health
- Publisher
- Oxford University Press (OUP)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1093/inthealth/ihae052,
title = {Development and validation of supervised machine learning multivariable prediction models for the diagnosis of <i>Pneumocystis jirovecii</i> pneumonia using nasopharyngeal swab PCR in adults in a low-HIV prevalence setting},
author = {Rusheng Chew and Marion L Woods and David L Paterson},
year = {2024},
journal = {International Health},
doi = {10.1093/inthealth/ihae052},
url = {https://doi.org/10.1093/inthealth/ihae052}
}RIS
TY - JOUR TI - Development and validation of supervised machine learning multivariable prediction models for the diagnosis of <i>Pneumocystis jirovecii</i> pneumonia using nasopharyngeal swab PCR in adults in a low-HIV prevalence setting AU - Rusheng Chew AU - Marion L Woods AU - David L Paterson PY - 2024 JO - International Health DO - 10.1093/inthealth/ihae052 UR - https://doi.org/10.1093/inthealth/ihae052 ER -
APA
Chew, R., Woods, M. L., & Paterson, D. L. (2024). Development and validation of supervised machine learning multivariable prediction models for the diagnosis of <i>Pneumocystis jirovecii</i> pneumonia using nasopharyngeal swab PCR in adults in a low-HIV prevalence setting. International Health. https://doi.org/10.1093/inthealth/ihae052
Source records
- crossref · retrieved 2026-11-10T21:08:50.099Z