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Fig. 1 | BMC Geriatrics

Fig. 1

From: Development and internal validation of a machine-learning-developed model for predicting 1-year mortality after fragility hip fracture

Fig. 1

Machine learning development process (a) 3 continuous and 11 categorical predictors of one-year mortality were taken into the computational process. (b) A stratified random sampling technique was applied to split patients in a 70:30 ratio to a training dataset and a testing dataset. (c) Training dataset was used to identify the optimal hyperparameters which provided the highest accuracy in a fivefold internal cross-validation of each model. (d) The performance of all algorithms were evaluated with another, unseen, testing dataset

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