Unleashing the Power of Very Small Data to Predict Acute Exacerbations of Chronic Obstructive Pulmonary Disease

INTRODUCTION: In this article, we explore to what extent it is possible to leverage on very small data to build machine learning (ML) models that predict acute exacerbations of chronic obstructive pulmonary disease (AECOPD). METHODS: We build ML models using the small data collected during the eHeal...

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Detalles Bibliográficos
Autores principales: Jacobson, Petra Kristina, Lind, Leili, Persson, Hans Lennart
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10362872/
https://www.ncbi.nlm.nih.gov/pubmed/37485052
http://dx.doi.org/10.2147/COPD.S412692

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10362872/
https://www.ncbi.nlm.nih.gov/pubmed/37485052
http://dx.doi.org/10.2147/COPD.S412692

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