Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Recent Advances of Artificial Intelligence in Cardiovascular Disease
19
Zitationen
8
Autoren
2020
Jahr
Abstract
Cardiovascular disease (CVD) is one of the most serious health disorders with increasing prevalence and high morbidity and mortality. Although diagnosis and treatment of CVD have achieved huge breakthrough in recent years, it still needs additional enhancements, which result in the demand for new techniques. Artificial intelligence (AI) is an emerging science field that has been widely used to guide diseases diagnosis, evaluation and treatment. AI techniques are promising in CVD to explore novel pathogenic genes phenotype, guide optimal individualized therapeutic strategy, improve the management and quality of discharged patients, predict disease prognosis, and as adjuvant therapy tool. Thus, we summarize the latest application of AI techniques in clinical diagnosis, evaluation and treatment of CVD, aiming to provide novel beneficial evidence of AI and promote its application in CVD.
Ähnliche Arbeiten
Biostatistical Analysis
1996 · 35.445 Zit.
UCI Machine Learning Repository
2007 · 24.290 Zit.
An introduction to ROC analysis
2005 · 20.671 Zit.
The use of the area under the ROC curve in the evaluation of machine learning algorithms
1997 · 7.118 Zit.
A method of comparing the areas under receiver operating characteristic curves derived from the same cases.
1983 · 7.063 Zit.