Dynamic risk stratification using Markov chain modelling in patients with chronic heart failure

Dynamic risk stratification using Markov chain modelling in patients with chronic heart failure

Abstract Aims Risk changes with the progression of disease and the impact of treatment. We developed a dynamic risk stratification Markov chain model using artificial intelligence in patients with chronic heart failure (CHF). Methods and results We described the pattern of behaviour among 7496 conse...

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Bibliographic Details
Main Authors: Syed Kazmi, Chandrasekhar Kambhampati, John G.F. Cleland, Joe Cuthbert, Khurram Shehzad Kazmi, Pierpaolo Pellicori, Alan S. Rigby, Andrew L. Clark
Format: Article
Language:English
Published: Wiley 2022-10-01
Series:ESC Heart Failure
Subjects:
Heart failure
Absorbing Markov chains
Disease trajectory
Artificial intelligence
Machine learning
Online Access:https://doi.org/10.1002/ehf2.14028

Internet

https://doi.org/10.1002/ehf2.14028

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