Federated Random Forests can improve local performance of predictive models for various healthcare applications

Anne-Christin Hauschild, Marta Lemanczyk, Julian O. Matschinske, Tobias Frisch, Olga I. Zolotareva, Andreas Holzinger, Jan Baumbach, Dominik Heider. Federated Random Forests can improve local performance of predictive models for various healthcare applications. Bioinformatics, 38(8):2278-2286, 2022. [doi]

@article{HauschildLMFZHB22,
  title = {Federated Random Forests can improve local performance of predictive models for various healthcare applications},
  author = {Anne-Christin Hauschild and Marta Lemanczyk and Julian O. Matschinske and Tobias Frisch and Olga I. Zolotareva and Andreas Holzinger and Jan Baumbach and Dominik Heider},
  year = {2022},
  doi = {10.1093/bioinformatics/btac065},
  url = {https://doi.org/10.1093/bioinformatics/btac065},
  researchr = {https://researchr.org/publication/HauschildLMFZHB22},
  cites = {0},
  citedby = {0},
  journal = {Bioinformatics},
  volume = {38},
  number = {8},
  pages = {2278-2286},
}