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Validation of Clinical Prediction Models with Repeated-Measures Predictors: A Methodological Framework for Neonatal Digital Twins in IoT Environments

2026-06-24

Abstract excerpt

<h4>Background: </h4> The neonatal intensive care unit (NICU) is one of medicine’s most data-rich Internet of Things (IoT) environments, and monitoring digital twins (DTs) that predict clinical events from continuously acquired physiologic streams are a leading proposed application. Methodological standards for validating the prediction models that underlie such DTs remain poorly defined. A monitoring DT can be no...

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Literature Corpus work
f160f479-3d4d-5e62-9b4e-a1b5b04b3664
DOI
10.20944/preprints202606.1769.v1
Open publication

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Validation of Clinical Prediction Models with Repeated-Measures Predictors: A Methodological Framework for Neonatal Digital Twins in IoT EnvironmentsDOI 10.20944/preprints202606.1769.v1
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