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

• Published in: ESC Heart Failure Vol. 9; no. 5; pp. 3009 - 3018
• Main Authors: Kazmi, Syed, Kambhampati, Chandrasekhar, Cleland, John G.F., Cuthbert, Joe, Kazmi, Khurram Shehzad, Pellicori, Pierpaolo, Rigby, Alan S., Clark, Andrew L.
• Format: Journal Article
• Language: English
• Published: England John Wiley & Sons, Inc 01.10.2022; John Wiley and Sons Inc; Wiley
• Subjects: Absorbing Markov chains; Artificial Intelligence; Chronic Disease; Disease trajectory; Ejection fraction; Health care; Heart failure; Heart Failure - epidemiology; Heart Failure - therapy; Hospitalization; Hospitals; Humans; Machine learning; Markov analysis; Markov Chains; Mortality; Original; Patients; Population; Probability; Risk Assessment; Heart failure; Disease trajectory; Artificial intelligence; Absorbing Markov chains; Machine learning

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 consecutive pa...