Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991–2020
R Alizadehsani, A Khosravi, M Roshanzamir… - Computers in Biology …, 2021 - Elsevier
While coronary angiography is the gold standard diagnostic tool for coronary artery disease
(CAD), but it is associated with procedural risk, it is an invasive technique requiring arterial …
(CAD), but it is associated with procedural risk, it is an invasive technique requiring arterial …
Machine learning-based predictive models for detection of cardiovascular diseases
Cardiovascular diseases present a significant global health challenge that emphasizes the
critical need for developing accurate and more effective detection methods. Several studies …
critical need for developing accurate and more effective detection methods. Several studies …
Detection of cardiovascular diseases in ECG images using machine learning and deep learning methods
MB Abubaker, B Babayiğit - IEEE transactions on artificial …, 2022 - ieeexplore.ieee.org
Cardiovascular diseases (heart diseases) are the leading cause of death worldwide. The
earlier they can be predicted and classified; the more lives can be saved. Electrocardiogram …
earlier they can be predicted and classified; the more lives can be saved. Electrocardiogram …
Multifractal foundations of biomarker discovery for heart disease and stroke
M Mangalam, A Sadri, J Hayano, E Watanabe… - Scientific reports, 2023 - nature.com
Any reliable biomarker has to be specific, generalizable, and reproducible across
individuals and contexts. The exact values of such a biomarker must represent similar health …
individuals and contexts. The exact values of such a biomarker must represent similar health …
An efficient prediction method for coronary heart disease risk based on two deep neural networks trained on well-ordered training datasets
T Amarbayasgalan, VH Pham, N Theera-Umpon… - IEEE …, 2021 - ieeexplore.ieee.org
This study proposes an efficient prediction method for coronary heart disease risk based on
two deep neural networks trained on well-ordered training datasets. Most real datasets …
two deep neural networks trained on well-ordered training datasets. Most real datasets …
Stark assessment of lifestyle based human disorders using data mining based learning techniques
Background: Medical informatics has observed an unrestrained growth in the database.
Latest advancements in the field of medical sciences have wiped out lots of critical diseases …
Latest advancements in the field of medical sciences have wiped out lots of critical diseases …
A comparative analysis of machine learning methods for class imbalance in a smoking cessation intervention
Smoking is one of the major public health issues, which has a significant impact on
premature death. In recent years, numerous decision support systems have been developed …
premature death. In recent years, numerous decision support systems have been developed …
Cardiovascular disease detection from high utility rare rule mining
We propose a method to search rare cardiovascular disease symptom rules from historical
health examination records according to its hazard ratio utility and further detect the disease …
health examination records according to its hazard ratio utility and further detect the disease …
A review of image processing techniques common in human and plant disease diagnosis
N Petrellis - Symmetry, 2018 - mdpi.com
Image processing has been extensively used in various (human, animal, plant) disease
diagnosis approaches, assisting experts to select the right treatment. It has been applied to …
diagnosis approaches, assisting experts to select the right treatment. It has been applied to …
Reconstruction error based deep neural networks for coronary heart disease risk prediction
Coronary heart disease (CHD) is one of the leading causes of death worldwide; if suffering
from CHD and being in its end-stage, the most advanced treatments are required, such as …
from CHD and being in its end-stage, the most advanced treatments are required, such as …