Alessandra Aldieri1, Thiranja Prasad Babarenda Gamage2, Antonino Amedeo La Mattina3,4

  • 1Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Corso Duca degli Abruzzi, 24 - 10129 Torino, Italy.

PubMed
概括

本文建立了12个机器学习 (ML) 预测器的可信度标准. 它通过专注于因果知识和偏见减少,确保了对医疗保健决策的可靠ML工具.

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Reliability and Validity01:29

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