Improving stroke risk prediction by integrating XGBoost, optimized principal component analysis, and explainable artificial intelligence.

Mochurad L, Babii V, Boliubash Y, Mochurad Y

Open source

DOI
10.1186/s12911-025-02894-z
Published
2025 Feb 7
Container
BMC medical informatics and decision making
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1186/s12911-025-02894-z,
  title = {Improving stroke risk prediction by integrating XGBoost, optimized principal component analysis, and explainable artificial intelligence.},
  author = {Mochurad L and Babii V and Boliubash Y and Mochurad Y},
  year = {2025},
  journal = {BMC medical informatics and decision making},
  doi = {10.1186/s12911-025-02894-z},
  url = {https://doi.org/10.1186/s12911-025-02894-z}
}

RIS

TY  - JOUR
TI  - Improving stroke risk prediction by integrating XGBoost, optimized principal component analysis, and explainable artificial intelligence.
AU  - Mochurad L
AU  - Babii V
AU  - Boliubash Y
AU  - Mochurad Y
PY  - 2025
JO  - BMC medical informatics and decision making
DO  - 10.1186/s12911-025-02894-z
UR  - https://doi.org/10.1186/s12911-025-02894-z
ER  - 

APA

L, M., V, B., Y, B., & Y, M. (2025). Improving stroke risk prediction by integrating XGBoost, optimized principal component analysis, and explainable artificial intelligence.. BMC medical informatics and decision making. https://doi.org/10.1186/s12911-025-02894-z

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