Machine learning for screening of at-risk, mild and moderate COPD patients at risk of FEV1 decline: results from COPDGene and SPIROMICS
- DOI
- 10.3389/fphys.2023.1144192
- Published
- 2023-04-21
- Container
- Frontiers in Physiology
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/fphys.2023.1144192,
title = {Machine learning for screening of at-risk, mild and moderate COPD patients at risk of FEV1 decline: results from COPDGene and SPIROMICS},
author = {Jennifer M. Wang and Wassim W. Labaki and Susan Murray and Fernando J. Martinez and Jeffrey L. Curtis and Eric A. Hoffman and Sundaresh Ram and Alexander J. Bell and Craig J. Galban and MeiLan K. Han and Charles Hatt},
year = {2023},
journal = {Frontiers in Physiology},
doi = {10.3389/fphys.2023.1144192},
url = {https://doi.org/10.3389/fphys.2023.1144192}
}RIS
TY - JOUR TI - Machine learning for screening of at-risk, mild and moderate COPD patients at risk of FEV1 decline: results from COPDGene and SPIROMICS AU - Jennifer M. Wang AU - Wassim W. Labaki AU - Susan Murray AU - Fernando J. Martinez AU - Jeffrey L. Curtis AU - Eric A. Hoffman AU - Sundaresh Ram AU - Alexander J. Bell AU - Craig J. Galban AU - MeiLan K. Han AU - Charles Hatt PY - 2023 JO - Frontiers in Physiology DO - 10.3389/fphys.2023.1144192 UR - https://doi.org/10.3389/fphys.2023.1144192 ER -
APA
Wang, J. M., Labaki, W. W., Murray, S., Martinez, F. J., Curtis, J. L., Hoffman, E. A., Ram, S., Bell, A. J., Galban, C. J., Han, M. K., & Hatt, C. (2023). Machine learning for screening of at-risk, mild and moderate COPD patients at risk of FEV1 decline: results from COPDGene and SPIROMICS. Frontiers in Physiology. https://doi.org/10.3389/fphys.2023.1144192
Source records
- crossref · retrieved 2026-09-26T17:41:12.500Z