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.

Meng S, Sagreiya H, Orangi-Fard N.

Open source

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.

Show all credibility signals

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