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Leveraging the potential of machine learning for assessing vascular ageing: state-of-the-art and future research
Citation
Bikia, V and Fong, T and Climie, RE and Bruno, RM and Hametner, B and Mayer, C and Terentes-Printzios, D and Charlton, PH, Leveraging the potential of machine learning for assessing vascular ageing: state-of-the-art and future research, European Heart Journal - Digital Health, 2, (4) pp. 676-690. ISSN 2634-3916 (2021) [Refereed Article]
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Copyright Statement
Copyright 2021 The Authors
DOI: doi:10.1093/ehjdh/ztab089
Abstract
Vascular ageing biomarkers have been found to be predictive of cardiovascular risk independently of classical risk factors, yet are not widely used in clinical practice. In this review, we present two basic approaches for using machine learning (ML) to assess vascular age: parameter estimation and risk classification. We then summarize their role in developing new techniques to assess vascular ageing quickly and accurately. We discuss the methods used to validate ML-based markers, the evidence for their clinical utility, and key directions for future research. The review is complemented by case studies of the use of ML in vascular age assessment which can be replicated using freely available data and code.
Item Details
| Item Type: | Refereed Article |
|---|---|
| Keywords: | Arterial stiffness, blood pressure, cardiovascular, central blood pressure, pulse wave velocity, machine learning, vascular ageing |
| Research Division: | Biomedical and Clinical Sciences |
| Research Group: | Cardiovascular medicine and haematology |
| Research Field: | Cardiology (incl. cardiovascular diseases) |
| Objective Division: | Health |
| Objective Group: | Clinical health |
| Objective Field: | Prevention of human diseases and conditions |
| UTAS Author: | Climie, RE (Dr Rachel Climie) |
| ID Code: | 149543 |
| Year Published: | 2021 |
| Deposited By: | Menzies Institute for Medical Research |
| Deposited On: | 2022-04-04 |
| Last Modified: | 2022-05-18 |
| Downloads: | 1 View Download Statistics |
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