Editorial: Machine learning and data science in heart failure and stroke
نویسندگان
چکیده
EDITORIAL article Front. Cardiovasc. Med., 22 August 2023Sec. Heart Failure and Transplantation Volume 10 - 2023 | https://doi.org/10.3389/fcvm.2023.1275739
منابع مشابه
Improving the Performance of Machine Learning Algorithms for Heart Disease Diagnosis by Optimizing Data and Features
Heart is one of the most important members of the body, and heart disease is the major cause of death in the world and Iran. This is why the early/on time diagnosis is one of the significant basics for preventing and reducing deaths of this disease. So far, many studies have been done on heart disease with the aim of prediction, diagnosis, and treatment. However, most of them have been mostly f...
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See related article, pages 1715–1719 Heart failure (HF) has been recognized as a risk factor for stroke since the 70s.1 Results from a populationbased stroke study have shown that HF is an independent risk factor for severe strokes.2 It seems likely that many HF-related strokes are embolic, but few studies have evaluated the use of anticoagulation therapy in these patients. At present we are aw...
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ژورنال
عنوان ژورنال: Frontiers in Cardiovascular Medicine
سال: 2023
ISSN: ['2297-055X']
DOI: https://doi.org/10.3389/fcvm.2023.1275739