Dynamic risk stratification using Markov chain modelling in patients with chronic heart failure-Reference-Cited by-同舟云学术

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

Published:2022-06-23 Issue:5 Volume:9 Page:3009-3018
ISSN:2055-5822
Container-title:ESC Heart Failure
language:en
Short-container-title:ESC Heart Failure

Author:

Kazmi Syed¹²^ORCID,Kambhampati Chandrasekhar²^ORCID,Cleland John G.F.³^ORCID,Cuthbert Joe¹⁴,Kazmi Khurram Shehzad⁵,Pellicori Pierpaolo³^ORCID,Rigby Alan S.⁶,Clark Andrew L.¹

Affiliation:

1. Department of Academic Cardiology Hull University Teaching Hospital NHS Trust Hull UK

2. Department of Computer Science and Technology University of Hull Hull UK

3. Robertson Centre for Biostatistics and Clinical Trials University of Glasgow Glasgow UK

4. Department of Cardiorespiratory Medicine, Centre for Clinical Sciences, Hull York Medical School University of Hull Hull UK

5. Department of General Medicine Ghurki Trust Teaching Hospital Lahore Pakistan

6. Hull York Medical School University of Hull Hull UK

Publisher

Wiley

Subject

Cardiology and Cardiovascular Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ehf2.14028

Reference28 articles.

1. Trends in survival after a diagnosis of heart failure in the United Kingdom 2000-2017: population based cohort study

2. Remote telemonitoring for patients with heart failure: might monitoring pulmonary artery pressure become routine?

3. >National Heart Failure Audit Report UK National Heart Failure Audit (NHFA) The National Institute for Cardovascular Outcomes Research (NICOR).Institute of Cardiovascular Science University College London.;2019.

4. Epidemiology of Heart Failure

5. Is the diagnostic coding position of acute heart failure related to mortality? A report from the Euro Heart Failure Survey-1

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Disease progression in chronic heart failure is linear: Insights from multistate modelling;European Journal of Heart Failure;2024-08-06

2. Development of a Cohort Analytics Tool for Monitoring Progression Patterns in Cardiovascular Diseases: An Advanced Stochastic Modeling Approach (Preprint);JMIR Medical Informatics;2024-04-10

3. Development of a Clinical Decision Support Tool for Predicting and Monitoring Progression Patterns in Cardiovascular Diseases: An Advanced Stochastic Modeling Approach (Preprint);2024-04-10

4. The impact of Markov model to predict the status of children with congenital heart disease at post-operative ICU;International Journal of Information Technology;2023-08