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A critical reflection on the role of Machine Learning in medical research, with specific comparisons to more classical statistical approaches to learning from data
A critical reflection on the role of Machine Learning in medical research, with specific comparisons to more classical statistical approaches to learning from data
Federated learning
Federated learning
A presentation for the CENTER-TBI project with some perspectives on federated learning, in comparison to classical meta-analysis of aggregated or individual patient data.
Federated Learning TBI ES30sept22 sel.pdf
Similar to the presentation in Paris at SnB2022: Machine Learning in medical research, with specific comparisons to more classical statistical approaches to learning from data
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