Explainable machine learning-based prediction of psoriatic arthritis flares using heterogenous real-world data for personalised patient care

Pradip Moon, Weizi Li, Antoni Chan, Bing Wang, Eghosa Bazuaye

Open source

DOI
10.1016/j.ymeth.2025.10.010
Published
2026-02
Container
Methods
Publisher
Elsevier BV
Open access
unknown

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BibTeX

@article{allodium:10.1016/j.ymeth.2025.10.010,
  title = {Explainable machine learning-based prediction of psoriatic arthritis flares using heterogenous real-world data for personalised patient care},
  author = {Pradip Moon and Weizi Li and Antoni Chan and Bing Wang and Eghosa Bazuaye},
  year = {2026},
  journal = {Methods},
  doi = {10.1016/j.ymeth.2025.10.010},
  url = {https://doi.org/10.1016/j.ymeth.2025.10.010}
}

RIS

TY  - JOUR
TI  - Explainable machine learning-based prediction of psoriatic arthritis flares using heterogenous real-world data for personalised patient care
AU  - Pradip Moon
AU  - Weizi Li
AU  - Antoni Chan
AU  - Bing Wang
AU  - Eghosa Bazuaye
PY  - 2026
JO  - Methods
DO  - 10.1016/j.ymeth.2025.10.010
UR  - https://doi.org/10.1016/j.ymeth.2025.10.010
ER  - 

APA

Moon, P., Li, W., Chan, A., Wang, B., & Bazuaye, E. (2026). Explainable machine learning-based prediction of psoriatic arthritis flares using heterogenous real-world data for personalised patient care. Methods. https://doi.org/10.1016/j.ymeth.2025.10.010

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