Detecting transthyretin amyloid cardiomyopathy (ATTR-CM) using machine learning: an evaluation of the performance of an algorithm in a UK setting

OBJECTIVE: The aim of this study was to evaluate the potential real-world application of a machine learning (ML) algorithm, developed and trained on heart failure (HF) cohorts in the USA, to detect patients with undiagnosed wild type cardiac amyloidosis (ATTRwt) in the UK. DESIGN: In this retrospect...

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Detalles Bibliográficos
Autores principales: Tsang, Carmen, Huda, Ahsan, Norman, Max, Dickerson, Carissa, Leo, Vincenzo, Brownrigg, Jack, Mamas, Mamas, Elliott, Perry
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10619059/
https://www.ncbi.nlm.nih.gov/pubmed/37899155
http://dx.doi.org/10.1136/bmjopen-2022-070028

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10619059/
https://www.ncbi.nlm.nih.gov/pubmed/37899155
http://dx.doi.org/10.1136/bmjopen-2022-070028

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