Documentation of the patient’s smoking status in common chronic diseases – analysis of medical narrative reports using the ULMFiT based text classification

Documentation of the patient’s smoking status in common chronic diseases – analysis of medical narrative reports using the ULMFiT based text classification

Introduction: Smoking cessation is essential part of a successful treatment in many chronic diseases. Our aim was to analyse how actively clinicians discuss and document patients’ smoking status into electronic health records (EHR) and deliver smoking cessation assistance. Methods: We analysed the r...

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Autores principales: Eveliina Hirvonen, Antti Karlsson, Tarja Saaresranta, Tarja Laitinen
Formato: article
Lenguaje:EN
Publicado: Taylor & Francis Group 2021
Materias:
smoking
smoking cessation
smoking intervention
electronic health records
medical narrative
natural language processing
machine learning
deep learning
artificial intelligence
language modelling
transfer learning
ulmfit
Diseases of the respiratory system
RC705-779
Acceso en línea:https://doaj.org/article/4a18ef6a21bb414c9a16538ed3d123f2
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https://doaj.org/article/4a18ef6a21bb414c9a16538ed3d123f2

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