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Privacy‐preserving federated data access and federated learning: Improved data sharing and AI model development in transfusion medicine

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-96896-0openalex-snapshot
Federated Learning
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Moving from bytes to bedside: a systematic review on the use of artificial intelligence in the intensive care unit
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Comparative analysis of open-source federated learning frameworks - a literature-based survey and review
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Resource management at the network edge for federated learning
inferredcites →https://doi.org/10.1038/s41591-022-02155-wopenalex-snapshot
Federated learning for predicting histological response to neoadjuvant chemotherapy in triple-negative breast cancer
inferredcites →https://doi.org/10.1038/s41746-020-00323-1openalex-snapshot
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inferredcites →https://doi.org/10.1109/cvpr52729.2023.00780openalex-snapshot
Federated Learning with Data-Agnostic Distribution Fusion
inferredcites →https://doi.org/10.1109/tnnls.2024.3370297openalex-snapshot
Personalized Federated Graph Learning on Non-IID Electronic Health Records
inferredcites →https://doi.org/10.1186/s12910-019-0359-9openalex-snapshot
Responsible data sharing in international health research: a systematic review of principles and norms
inferredcites →https://doi.org/10.1186/s12910-022-00779-8openalex-snapshot
What ethical approaches are used by scientists when sharing health data? An interview study
inferredcites →https://doi.org/10.1186/s40504-017-0060-zopenalex-snapshot
Ethical sharing of health data in online platforms – which values should be considered?
inferredcites →https://doi.org/10.1197/jamia.m1935openalex-snapshot
Standardizing Laboratory Data by Mapping to LOINC
inferredcites →https://doi.org/10.1371/journal.pone.0280192openalex-snapshot
A privacy-preserving and computation-efficient federated algorithm for generalized linear mixed models to analyze correlated electronic health records data
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Development of Integrated Data Quality Management System for Observational Medical Outcomes Partnership Common Data Model

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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inferred← citeshttps://doi.org/10.1111/tme.70108openalex-snapshot
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Ethical dilemmas in the use of artificial intelligence in transfusion medicine
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