Machine Learning Characterization of COPD Subtypes: Insights From the COPDGene Study.
- DOI
- 10.1016/j.chest.2019.11.039
- Published
- 2019-12-28
- Container
- Chest
- Publisher
- Not recorded
- Open access
- no
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limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1016/j.chest.2019.11.039,
title = {Machine Learning Characterization of COPD Subtypes: Insights From the COPDGene Study.},
author = {Castaldi PJ and Boueiz A and Yun J and Estepar RSJ and Ross JC and Washko G and Cho MH and Hersh CP and Kinney GL and Young KA and Regan EA and Lynch DA and Criner GJ and Dy JG and Rennard SI and Casaburi R and Make BJ and Crapo J and Silverman EK and Hokanson JE and COPDGene Investigators.},
year = {2020},
journal = {Chest},
doi = {10.1016/j.chest.2019.11.039},
url = {https://doi.org/10.1016/j.chest.2019.11.039}
}RIS
TY - JOUR TI - Machine Learning Characterization of COPD Subtypes: Insights From the COPDGene Study. AU - Castaldi PJ AU - Boueiz A AU - Yun J AU - Estepar RSJ AU - Ross JC AU - Washko G AU - Cho MH AU - Hersh CP AU - Kinney GL AU - Young KA AU - Regan EA AU - Lynch DA AU - Criner GJ AU - Dy JG AU - Rennard SI AU - Casaburi R AU - Make BJ AU - Crapo J AU - Silverman EK AU - Hokanson JE AU - COPDGene Investigators. PY - 2020 JO - Chest DO - 10.1016/j.chest.2019.11.039 UR - https://doi.org/10.1016/j.chest.2019.11.039 ER -
APA
PJ, C., A, B., J, Y., RSJ, E., JC, R., G, W., MH, C., CP, H., GL, K., KA, Y., EA, R., DA, L., GJ, C., JG, D., SI, R., R, C., BJ, M., J, C., EK, S., JE, H., & Investigators., C. (2020). Machine Learning Characterization of COPD Subtypes: Insights From the COPDGene Study.. Chest. https://doi.org/10.1016/j.chest.2019.11.039
Source records
- europe-pmc · retrieved 2026-09-27T13:17:14.695Z