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Fig. 4 | BMC Medical Informatics and Decision Making

Fig. 4

From: Development of transient ischemic attack risk prediction model suitable for initializing a learning health system unit using electronic medical records

Fig. 4

Performance and reliability curves of XGBoost models for TIA risk prediction. The base models used default settings. The inclusive 150-variable model: ROC curve (a) and reliability curve (b). The practical 20-variable model: ROC curve (c) and reliability curve (d). The first internally validated updated model in the TIA ML-LHS unit: ROC curve (e) and reliability curve (f). TIA: transient ischemic attack. ML: machine learning. LHS: learning health system

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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