A machine learning approach to identify perspectives of people living with pulmonary fibrosis.

Hofman DE, Zhang R, Oltmans R, Hendriks JM, Moor CC, Wijsenbeek-Lourens M, Jung J

DOI: 10.1183/23120541.01836-2025
Published: 2026 Sep
Container: ERJ open research
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1183/23120541.01836-2025,
  title = {A machine learning approach to identify perspectives of people living with pulmonary fibrosis.},
  author = {Hofman DE and Zhang R and Oltmans R and Hendriks JM and Moor CC and Wijsenbeek-Lourens M and Jung J},
  year = {2026},
  journal = {ERJ open research},
  doi = {10.1183/23120541.01836-2025},
  url = {https://doi.org/10.1183/23120541.01836-2025}
}

RIS

TY  - JOUR
TI  - A machine learning approach to identify perspectives of people living with pulmonary fibrosis.
AU  - Hofman DE
AU  - Zhang R
AU  - Oltmans R
AU  - Hendriks JM
AU  - Moor CC
AU  - Wijsenbeek-Lourens M
AU  - Jung J
PY  - 2026
JO  - ERJ open research
DO  - 10.1183/23120541.01836-2025
UR  - https://doi.org/10.1183/23120541.01836-2025
ER  -

APA

DE, H., R, Z., R, O., JM, H., CC, M., M, W., & J, J. (2026). A machine learning approach to identify perspectives of people living with pulmonary fibrosis.. ERJ open research. https://doi.org/10.1183/23120541.01836-2025

Source records

pubmed · retrieved 2026-09-26T11:43:00.550Z
europe-pmc · retrieved 2026-09-26T11:43:00.543Z