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Confederated learning in healthcare: Training machine learning models using disconnected data separated by individual, data type and identity for Large-Scale health system Intelligence
Research article (Journal of Biomedical Informatics, 2022) · cited 21× · AI/ML
Confederated learning in healthcare: Training machine learning models using disconnected data separated by individual, data type and identity for Large-Scale health system Intelligence
Summary
Confederated learning in healthcare: Training machine learning models using disconnected data separated by individual, data type and identity for Large-Scale health system Intelligence is a scholarly article[1].
Key Facts
Confederated learning in healthcare: Training machine learning models using disconnected data separated by individual, data type and identity for Large-Scale health system Intelligence's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Confederated learning in healthcare: Training machine learning models using disconnected data separated by individual, data type and identity for Large-Scale health system Intelligence. Retrieved May 24, 2026, from https://4ort.xyz/entity/confederated-learning-in-healthcare-training-machine-learning-models-using-disconnected-data-separated-by-individual-dat
MLA“Confederated learning in healthcare: Training machine learning models using disconnected data separated by individual, data type and identity for Large-Scale health system Intelligence.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/confederated-learning-in-healthcare-training-machine-learning-models-using-disconnected-data-separated-by-individual-dat.
BibTeX@misc{4ortxyz_confederated-learning-in-healthcare-training-machine-learning-models-using-disconnected-data-separated-by-individual-dat_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Confederated learning in healthcare: Training machine learning models using disconnected data separated by individual, data type and identity for Large-Scale health system Intelligence}}, year = {2026}, url = {https://4ort.xyz/entity/confederated-learning-in-healthcare-training-machine-learning-models-using-disconnected-data-separated-by-individual-dat}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Confederated learning in healthcare: Training machine learning models using disconnected data separated by individual, data type and identity for Large-Scale health system Intelligence — https://4ort.xyz/entity/confederated-learning-in-healthcare-training-machine-learning-models-using-disconnected-data-separated-by-individual-dat (retrieved 2026-05-24)
