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Assessing the transportability of clinical prediction models for cognitive impairment using causal models

2022-03-02

Abstract excerpt

<h4>Background</h4> Machine learning models promise to support diagnostic predictions, but may not perform well in new settings. Selecting the best model for a new setting without available data is challenging. We aimed to investigate the transportability by calibration and discrimination of prediction models for cognitive impairment in simulated external settings with different distributions of demographic and cl...

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Literature Corpus work
9fedea97-5d71-5804-8cbd-1ac7bb45a29d
DOI
10.1101/2022.03.01.22271617
Open publication

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Assessing the transportability of clinical prediction models for cognitive impairment using causal modelsDOI 10.1101/2022.03.01.22271617
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