Predicting atrial fibrillation in comorbid patients with arterial hypertension and chronic obstructive pulmonary disease using laboratory research methods: a machine learning approach

BACKGROUND: Arterial hypertension and chronic obstructive pulmonary disease have a deleterious effect on the structure of the heart, leading to the development of atrial fibrillation, which remains the leading cause of cerebral stroke and premature death [1]. Consequently, the early identification o...

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Bibliografische Detailangaben

Hauptverfasser:	Evgeniya V. Kazantseva, Aleksander A. Ivannikov, Aida I. Tarzimanova, Valeriy I. Podzolkov
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Eco-Vector 2024-07-01
Schriftenreihe:	Digital Diagnostics
Schlagworte:	atrial fibrillation prognosis machine learning neural network
Online-Zugang:	https://jdigitaldiagnostics.com/DD/article/viewFile/626797/pdf
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