Algorithms for automatic analysis and classification of heart sounds–a systematic review
Cardiovascular diseases currently pose the highest threat to human health around the
world. Proper investigation of the abnormalities in heart sounds is known to provide vital …
world. Proper investigation of the abnormalities in heart sounds is known to provide vital …
[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 …
[HTML][HTML] A review of computer-aided heart sound detection techniques
S Li, F Li, S Tang, W Xiong - BioMed research international, 2020 - hindawi.com
Cardiovascular diseases have become one of the most prevalent threats to human health
throughout the world. As a noninvasive assistant diagnostic tool, the heart sound detection …
throughout the world. As a noninvasive assistant diagnostic tool, the heart sound detection …
Empirical analysis of machine learning algorithms on imbalance electrocardiogram based arrhythmia dataset for heart disease detection
Living beings are subjected to many hazards during their course of life. Owing to high
mortality rate, heart disease (HD) is among leading hazards for living being. It is world's one …
mortality rate, heart disease (HD) is among leading hazards for living being. It is world's one …
Diagnosis of heart diseases by a secure internet of health things system based on autoencoder deep neural network
Objective of this study is to introduce a secure IoHT system, which acts as a clinical decision
support system with the diagnosis of cardiovascular diseases. In this sense, it was …
support system with the diagnosis of cardiovascular diseases. In this sense, it was …
Automatic diagnosis of multiple cardiac diseases from PCG signals using convolutional neural network
Background and objectives Cardiovascular diseases are critical diseases and need to be
diagnosed as early as possible. There is a lack of medical professionals in remote areas to …
diagnosed as early as possible. There is a lack of medical professionals in remote areas to …
Artificial intelligence and heart failure: A state‐of‐the‐art review
Heart failure (HF) is a heterogeneous syndrome affecting more than 60 million individuals
globally. Despite recent advancements in understanding of the pathophysiology of HF, many …
globally. Despite recent advancements in understanding of the pathophysiology of HF, many …
Machine learning in heart failure: ready for prime time
Machine learning in heart failure: ready for prime time : Current Opinion in Cardiology Machine
learning in heart failure: ready for prime time : Current Opinion in Cardiology Log in or Register …
learning in heart failure: ready for prime time : Current Opinion in Cardiology Log in or Register …
A machine learning approach for chronic heart failure diagnosis
DK Plati, EE Tripoliti, A Bechlioulis, A Rammos, I Dimou… - Diagnostics, 2021 - mdpi.com
The aim of this study was to address chronic heart failure (HF) diagnosis with the application
of machine learning (ML) approaches. In the present study, we simulated the procedure that …
of machine learning (ML) approaches. In the present study, we simulated the procedure that …