IMR Press / RCM / Special Issues / risk_stratification

Risk Stratification in Cardiovascular Diseases

Submission deadline: 30 October 2022
Special Issue Editors
  • Gary Tse
    Cardiac Electrophysiology Unit, Cardiovascular Analytics Group, China-UK Collaboration, Hong Kong, China; Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin, China; Kent and Medway Medical School, Kent, UK
    Interests: risk stratification; cardiac ion channelopathies; diabetes mellitus; electrocardiology; machine learning
  • Sharen Lee
    Cardiac Electrophysiology Unit, Cardiovascular Analytics Group, China-UK Collaboration, Hong Kong, China
    Interests: risk stratification; cardiac ion channelopathies; diabetes mellitus; electrocardiology; machine learning
  • Tong Liu
    Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin, China
    Interests: cardiac electrocardiology; atrial fibrillation; ventricular arrhythmias
Special Issue Information

Dear Colleagues,

Over the past decades, under the advancement of healthcare and the trend of the aging population, cardiovascular diseases have become an increasingly important cause of morbidity and mortality across the globe. Under the influence of different clinical, social and environmental factors, the prognosis of patients with the same disease can have significant variations. With an increasing number of patients suffering from multiple comorbidities, the interplay of diseases further complicates the prediction of disease outcomes. Therefore, there is a call for a more personalized management approach in the field of cardiovascular medicine, which requires the triage of patients by their risk profiles. Consequently, significant efforts have been exerted by the scientific community to advance research in the development of risk models and scores for the prognostication of cardiovascular diseases.

To improve the prognostic accuracy of the risk stratification models, multiparametric models with the inclusion of clinical, biochemical and imaging findings have been developed. New disease monitoring parameters derived from conventional biomarkers, electrocardiograms, echocardiograms and more were explored for their predictive value in disease progression. Existing diagnostic models were also examined for their risk stratifying potential. Machine learning approaches have been employed to uncover the non-linear relationships between variables, and account for the inter-predictor interactions to advance the predictive accuracy of models. 

This special issue aims to collect high-quality original articles and comprehensive reviews on the advancements in risk stratification in the field of cardiovascular medicine. Topics of interest include but are not limited to:
1)Novel risk models on any cardiovascular diseases
2)Current trends in the risk stratification of any cardiovascular diseases
3)The use of machine-learning in the prognostication of cardiovascular diseases

Prof. Gary Tse, Dr. Sharen Lee and Prof. Tong Liu

Guest Editors

Keywords
risk stratification
cardiovascular
machine learning
prognosis
diagnosis
Manuscript Submission Information

Manuscripts should be submitted via our online editorial system at https://imr.propub.com by registering and logging in to this website. Once you are registered, click here to start your submission. Manuscripts can be submitted now or up until the deadline. All papers will go through peer-review process. Accepted papers will be published in the journal (as soon as accepted) and meanwhile listed together on the special issue website. Research articles, reviews as well as short communications are preferred. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office to announce on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts will be thoroughly refereed through a double-blind peer-review process. Please visit the Instruction for Authors page before submitting a manuscript. The Article Processing Charge (APC) in this open access journal is 2200 USD. Submitted manuscripts should be well formatted in good English.

Published Paper (1 Paper)
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