Machine learning approaches for predicting breast cancer recurrence using clinical and histopathological data.

Bhat MA, Mir MA, Lakshmi RV, Pradhan T, Rao GVVJ, Tejani GG, Hussain SA

DOI: 10.1007/s10238-025-02018-x
Published: 2025 Dec 30
Container: Clinical and experimental medicine
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1007/s10238-025-02018-x,
  title = {Machine learning approaches for predicting breast cancer recurrence using clinical and histopathological data.},
  author = {Bhat MA and Mir MA and Lakshmi RV and Pradhan T and Rao GVVJ and Tejani GG and Hussain SA},
  year = {2025},
  journal = {Clinical and experimental medicine},
  doi = {10.1007/s10238-025-02018-x},
  url = {https://doi.org/10.1007/s10238-025-02018-x}
}

RIS

TY  - JOUR
TI  - Machine learning approaches for predicting breast cancer recurrence using clinical and histopathological data.
AU  - Bhat MA
AU  - Mir MA
AU  - Lakshmi RV
AU  - Pradhan T
AU  - Rao GVVJ
AU  - Tejani GG
AU  - Hussain SA
PY  - 2025
JO  - Clinical and experimental medicine
DO  - 10.1007/s10238-025-02018-x
UR  - https://doi.org/10.1007/s10238-025-02018-x
ER  -

APA

MA, B., MA, M., RV, L., T, P., GVVJ, R., GG, T., & SA, H. (2025). Machine learning approaches for predicting breast cancer recurrence using clinical and histopathological data.. Clinical and experimental medicine. https://doi.org/10.1007/s10238-025-02018-x

Source records

pubmed · retrieved 2026-09-25T13:25:54.785Z
europe-pmc · retrieved 2026-09-25T13:25:54.812Z