Using machine learning to extract information and predict outcomes from reports of randomised trials of smoking cessation interventions in the Human Behaviour-Change Project [version 2; peer review: 2 approved, 1 approved with reservations]

Using machine learning to extract information and predict outcomes from reports of randomised trials of smoking cessation interventions in the Human Behaviour-Change Project [version 2; peer review: 2 approved, 1 approved with reservations]

Background Using reports of randomised trials of smoking cessation interventions as a test case, this study aimed to develop and evaluate machine learning (ML) algorithms for extracting information from study reports and predicting outcomes as part of the Human Behaviour-Change Project. It is the fi...

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Bibliographic Details
Main Authors: Pol Mac Aonghusa, Alison J. Wright, Robert West, Janna Hastings, Yufang Hou, Alison O'Mara-Eves, Francesca Bonin, Martin Gleize, Susan Michie, Marie Johnston, James Thomas
Format: Article
Language:English
Published: Wellcome 2024-11-01
Series:Wellcome Open Research
Subjects:
behaviour change interventions
artificial intelligence
machine learning
natural language processing
prediction systems
information extractions
eng
Online Access:https://wellcomeopenresearch.org/articles/8-452/v2
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https://wellcomeopenresearch.org/articles/8-452/v2

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