Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging
Artificial intelligence (AI) has transformed key aspects of human life. Machine learning (ML),
which is a subset of AI wherein machines autonomously acquire information by extracting …
which is a subset of AI wherein machines autonomously acquire information by extracting …
Artificial intelligence in cardiology: Hope for the future and power for the present
Cardiovascular disease (CVD) is the principal cause of mortality and morbidity globally. With
the pressures for improved care and translation of the latest medical advances and …
the pressures for improved care and translation of the latest medical advances and …
[HTML][HTML] Artificial intelligence in the diagnosis and detection of heart failure: the past, present, and future
F Yasmin, SMI Shah, A Naeem… - Reviews in …, 2021 - imrpress.com
Artificial Intelligence (AI) performs human intelligence-dependant tasks using tools such as
Machine Learning, and its subtype Deep Learning. AI has incorporated itself in the field of …
Machine Learning, and its subtype Deep Learning. AI has incorporated itself in the field of …
[HTML][HTML] Heart failure: diagnosis, severity estimation and prediction of adverse events through machine learning techniques
EE Tripoliti, TG Papadopoulos, GS Karanasiou… - Computational and …, 2017 - Elsevier
Heart failure is a serious condition with high prevalence (about 2% in the adult population in
developed countries, and more than 8% in patients older than 75 years). About 3–5% of …
developed countries, and more than 8% in patients older than 75 years). About 3–5% of …
Comparative study of optimum medical diagnosis of human heart disease using machine learning technique with and without sequential feature selection
Predicting heart disease is regarded as one of the most difficult challenges in the health-
care profession. To predict cardiac disease, researchers employed a variety of algorithms …
care profession. To predict cardiac disease, researchers employed a variety of algorithms …
Prediction of cardiac disease using supervised machine learning algorithms
The healthcare industry is dealing with billions of patients all over the world and producing
massive data. The machine learning-based models are dissecting the multidimensional …
massive data. The machine learning-based models are dissecting the multidimensional …
Sequential feature selection and machine learning algorithm-based patient's death events prediction and diagnosis in heart disease
Due to the accessibility of data with multiple features, many feature determination
techniques available in written form. These features promote data with extremely high …
techniques available in written form. These features promote data with extremely high …
The prediction of municipal water demand in Iraq: a case study of Baghdad governorate
Accurate prediction of short-term water demand plays an important role for water suppliers
as well as for government's water plan. This paper aims to predict a municipal water demand …
as well as for government's water plan. This paper aims to predict a municipal water demand …
Forecasting of monthly stochastic signal of urban water demand: Baghdad as a case study
Forecasting of municipal water demand is essential for the decision-making process in the
water industry in particular for countries that suffered from water scarcity. An accurate …
water industry in particular for countries that suffered from water scarcity. An accurate …
Machine learning in heart failure: ready for prime time
Machine learning in heart failure: ready for prime time : Current Opinion in Cardiology Machine
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