Clinical heterogeneity mapping and machine learning-based prediction of recurrence in gallstone disease: a retrospective cohort study of 9,939 patients.

Zheng X, Yan Y, Bian C, Sun X, Bai X, Zhuang X, Zhang Y

Open source

DOI: 10.7717/peerj.21699
Published: 2026
Container: PeerJ
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.7717/peerj.21699,
  title = {Clinical heterogeneity mapping and machine learning-based prediction of recurrence in gallstone disease: a retrospective cohort study of 9,939 patients.},
  author = {Zheng X and Yan Y and Bian C and Sun X and Bai X and Zhuang X and Zhang Y},
  year = {2026},
  journal = {PeerJ},
  doi = {10.7717/peerj.21699},
  url = {https://doi.org/10.7717/peerj.21699}
}

RIS

TY  - JOUR
TI  - Clinical heterogeneity mapping and machine learning-based prediction of recurrence in gallstone disease: a retrospective cohort study of 9,939 patients.
AU  - Zheng X
AU  - Yan Y
AU  - Bian C
AU  - Sun X
AU  - Bai X
AU  - Zhuang X
AU  - Zhang Y
PY  - 2026
JO  - PeerJ
DO  - 10.7717/peerj.21699
UR  - https://doi.org/10.7717/peerj.21699
ER  -

APA

X, Z., Y, Y., C, B., X, S., X, B., X, Z., & Y, Z. (2026). Clinical heterogeneity mapping and machine learning-based prediction of recurrence in gallstone disease: a retrospective cohort study of 9,939 patients.. PeerJ. https://doi.org/10.7717/peerj.21699

Source records

pubmed · retrieved 2026-09-25T08:56:57.296Z
europe-pmc · retrieved 2026-09-25T08:56:57.293Z
doaj · retrieved 2026-09-25T08:56:57.292Z