Estimating individual treatment effects on COPD exacerbations by causal machine learning on randomised controlled trials

RATIONALE: Estimating the causal effect of an intervention at individual level, also called individual treatment effect (ITE), may help in identifying response prior to the intervention. OBJECTIVES: We aimed to develop machine learning (ML) models which estimate ITE of an intervention using data fro...

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Detalles Bibliográficos
Autores principales: Verstraete, Kenneth, Gyselinck, Iwein, Huts, Helene, Das, Nilakash, Topalovic, Marko, De Vos, Maarten, Janssens, Wim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Chronic Obstructive Pulmonary Disease
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10511983/
https://www.ncbi.nlm.nih.gov/pubmed/37012070
http://dx.doi.org/10.1136/thorax-2022-219382

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10511983/
https://www.ncbi.nlm.nih.gov/pubmed/37012070
http://dx.doi.org/10.1136/thorax-2022-219382

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