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Article

Predicting outcomes of smoking cessation interventions in novel scenarios using ontology-informed, interpretable machine learning

2023-11-07

Abstract excerpt

Background Systematic reviews of effectiveness estimate the relative average effects of interventions and comparators in a set of existing studies e.g., using rate ratios. However, policymakers, planners and practitioners require predictions about outcomes in novel scenarios where aspects of the interventions, populations or settings may differ. This study aimed to develop and evaluate an ontology-informed, inter...

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Literature Corpus work
2a76676f-38b2-58d7-b9cb-c198726f3340
DOI
10.12688/wellcomeopenres.20012.1
Open publication

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Predicting outcomes of smoking cessation interventions in novel scenarios using ontology-informed, interpretable machine learningDOI 10.12688/wellcomeopenres.20012.1
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