Prediction of Chronic Obstructive Pulmonary Disease Using Machine Learning, Clinical Summary Notes, and Vital Signs: A Single-Center Retrospective Cohort Study in the United States.
- DOI
- 10.3390/arm94010005
- Published
- 2026-01-07
- Container
- Adv Respir Med
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
uncertain Score 53/100 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:10.3390/arm94010005,
title = {Prediction of Chronic Obstructive Pulmonary Disease Using Machine Learning, Clinical Summary Notes, and Vital Signs: A Single-Center Retrospective Cohort Study in the United States.},
author = {Meng S and Sagreiya H and Orangi-Fard N.},
year = {2026},
journal = {Adv Respir Med},
doi = {10.3390/arm94010005},
url = {https://doi.org/10.3390/arm94010005}
}RIS
TY - JOUR TI - Prediction of Chronic Obstructive Pulmonary Disease Using Machine Learning, Clinical Summary Notes, and Vital Signs: A Single-Center Retrospective Cohort Study in the United States. AU - Meng S AU - Sagreiya H AU - Orangi-Fard N. PY - 2026 JO - Adv Respir Med DO - 10.3390/arm94010005 UR - https://doi.org/10.3390/arm94010005 ER -
APA
S, M., H, S., & N., O. (2026). Prediction of Chronic Obstructive Pulmonary Disease Using Machine Learning, Clinical Summary Notes, and Vital Signs: A Single-Center Retrospective Cohort Study in the United States.. Adv Respir Med. https://doi.org/10.3390/arm94010005
Source records
- europe-pmc · retrieved 2026-09-26T21:55:40.652Z
- doaj · retrieved 2026-09-26T21:55:40.648Z