Using the PROBAST tool to identify potential methodological biases in studies developing prediction models for the outcome of aneurysmal subarachnoid hemorrhage.

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Master Thesis

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Abstract

Predicting the outcome of aneurysmal subarachnoid hemorrhage could play an important role in the management of aneurysms. As developing prediction models becomes easier an uptake in model development is taking place in science. This also increases the amount of methodological errors made during development leading to difficulty in reproduction or clinical usage of these models. In this review papers that developed a model predicting the outcome of aneurysmal subarachnoid hemorrhage were selected

Keywords

Machine learning; subarachnoid; hemorrhage; haemorrhage; probast; prediction models; model;

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