Development of time to event prediction models using federated learning
Abstract Background In a wide range of diseases, it is necessary to utilize multiple data sources to obtain enough data for model training. However, performing centralized pooling of multiple data sources, while protecting each patients’ sensitive data, can require a cumbersome process involving man...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-05-01
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| Series: | BMC Medical Research Methodology |
| Online Access: | https://doi.org/10.1186/s12874-025-02598-y |
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