Leveraging Machine Learning and Real-World Data to Predict Chronic Obstructive Pulmonary Disease Exacerbations

Reynold Panettieri Jr, Jason Roy, Natalia Gontarczyk Uczkowski, Allison Tyler, Jason Attanucci, Thomas O'Riordan, Kristin Kahle-Wrobleski

Open source

DOI: 10.2147/copd.s536395
Published: 2025-10
Container: International Journal of Chronic Obstructive Pulmonary Disease
Publisher: Informa UK Limited
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.2147/copd.s536395,
  title = {Leveraging Machine Learning and Real-World Data to Predict Chronic Obstructive Pulmonary Disease Exacerbations},
  author = {Reynold Panettieri Jr and Jason Roy and Natalia Gontarczyk Uczkowski and Allison Tyler and Jason Attanucci and Thomas O'Riordan and Kristin Kahle-Wrobleski},
  year = {2025},
  journal = {International Journal of Chronic Obstructive Pulmonary Disease},
  doi = {10.2147/copd.s536395},
  url = {https://doi.org/10.2147/copd.s536395}
}

RIS

TY  - JOUR
TI  - Leveraging Machine Learning and Real-World Data to Predict Chronic Obstructive Pulmonary Disease Exacerbations
AU  - Reynold Panettieri Jr
AU  - Jason Roy
AU  - Natalia Gontarczyk Uczkowski
AU  - Allison Tyler
AU  - Jason Attanucci
AU  - Thomas O'Riordan
AU  - Kristin Kahle-Wrobleski
PY  - 2025
JO  - International Journal of Chronic Obstructive Pulmonary Disease
DO  - 10.2147/copd.s536395
UR  - https://doi.org/10.2147/copd.s536395
ER  -

APA

Jr, R. P., Roy, J., Uczkowski, N. G., Tyler, A., Attanucci, J., O'Riordan, T., & Kahle-Wrobleski, K. (2025). Leveraging Machine Learning and Real-World Data to Predict Chronic Obstructive Pulmonary Disease Exacerbations. International Journal of Chronic Obstructive Pulmonary Disease. https://doi.org/10.2147/copd.s536395

Source records

crossref · retrieved 2026-09-25T13:19:33.999Z