Prediction of heart failure decompensations using artificial intelligence and machine learning techniques

Prediction of heart failure decompensations using artificial intelligence and machine learning techniques

Introduction: Heart failure (HF) is a major concern in public health. We have used artificial intelligence to analyze information and improve patient outcomes. Method: An Observational, retrospective, and non-randomized study with patients enrolled in our telemonitoring program (May 2014-February 20...

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Bibliographic Details
Main Authors: Vanessa Escolar, Ainara Lozano, Nekane Larburu, Jon Kerexeta, Roberto Álvarez, Amaia Echebarria, Alberto Azcona
Format: Article
Language:English
Published: Permanyer 2022-10-01
Series:Revista Colombiana de Cardiología
Subjects:
Heart failure decompensations. Hospital admissions. Remote patient telemonitoring. Artificial intelligence. Machine learning. Predictive models.
Online Access:https://www.rccardiologia.com/frame_esp.php?id=207

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