Development and validation of a generalisable machine learning algorithm for identifying interstitial lung disease cohorts: a retrospective cohort study
- DOI
- 10.1016/j.eclinm.2026.103790
- Published
- 2026-03
- Container
- eClinicalMedicine
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.eclinm.2026.103790,
title = {Development and validation of a generalisable machine learning algorithm for identifying interstitial lung disease cohorts: a retrospective cohort study},
author = {Erica Farrand and Augustine Chung and Jisha Joshua and Huawei Dong and Hunter Mills and Albert Lee and Martin Ieong and Lakshmi Radhakrishnan and Oksana Gologorskaya and Atul Butte},
year = {2026},
journal = {eClinicalMedicine},
doi = {10.1016/j.eclinm.2026.103790},
url = {https://doi.org/10.1016/j.eclinm.2026.103790}
}RIS
TY - JOUR TI - Development and validation of a generalisable machine learning algorithm for identifying interstitial lung disease cohorts: a retrospective cohort study AU - Erica Farrand AU - Augustine Chung AU - Jisha Joshua AU - Huawei Dong AU - Hunter Mills AU - Albert Lee AU - Martin Ieong AU - Lakshmi Radhakrishnan AU - Oksana Gologorskaya AU - Atul Butte PY - 2026 JO - eClinicalMedicine DO - 10.1016/j.eclinm.2026.103790 UR - https://doi.org/10.1016/j.eclinm.2026.103790 ER -
APA
Farrand, E., Chung, A., Joshua, J., Dong, H., Mills, H., Lee, A., Ieong, M., Radhakrishnan, L., Gologorskaya, O., & Butte, A. (2026). Development and validation of a generalisable machine learning algorithm for identifying interstitial lung disease cohorts: a retrospective cohort study. eClinicalMedicine. https://doi.org/10.1016/j.eclinm.2026.103790
Source records
- crossref · retrieved 2026-09-25T11:56:12.968Z