Emerging role of machine learning in cardiovascular disease investigation and translations
American Heart Journal Plus: Cardiology Research and Practice
; : 100050, 2021.
Article
in English
| ScienceDirect | ID: covidwho-1458822
ABSTRACT
Unexpected insights and practical advances in cardiovascular disease (CVD) are being discovered by rapidly advancing developments in supercomputers and machine learning (ML) software algorithms. These have been accelerated during the COVID-19 pandemic, and the resulting CVD translational implications of ML are steering new measures of prevention and treatment, new tools for objective clinical diagnosis, and even opportunities for rethinking basic foundations of CVD nosology. As the usual cardiovascular specialist may not be familiar with these tools, the editor has invited this brief overview.
Full text:
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Collection:
Databases of international organizations
Database:
ScienceDirect
Language:
English
Journal:
American Heart Journal Plus: Cardiology Research and Practice
Year:
2021
Document Type:
Article
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