Investigating automated regression models for estimating left ventricular ejection fraction levels in heart failure patients using circadian ECG features
Heart Failure (HF) significantly impacts approximately 26 million people worldwide, causing
disruptions in the normal functioning of their hearts. The estimation of left ventricular ejection …
disruptions in the normal functioning of their hearts. The estimation of left ventricular ejection …
Identification of congenital valvular murmurs in young patients using deep learning-based attention transformers and phonocardiograms
One in every four newborns suffers from congenital heart disease (CHD) that causes defects
in the heart structure. The current gold-standard assessment technique, echocardiography …
in the heart structure. The current gold-standard assessment technique, echocardiography …
A systemic review and meta-analysis comparing the ability of diagnostic of the third heart sound and left ventricular ejection fraction in heart failure
L Dao, M Huang, X Lin, L Li, X Feng, C Wei… - Frontiers in …, 2022 - frontiersin.org
Objective This study aimed to compare the sensitivity and specificity of diagnosis between
the third heart sound (S3) and left ventricular ejection fraction (LVEF) in heart failure (HF) …
the third heart sound (S3) and left ventricular ejection fraction (LVEF) in heart failure (HF) …
Prediction of fetal RR intervals from maternal factors using machine learning models
N Widatalla, M Alkhodari, K Koide, C Yoshida… - Scientific Reports, 2023 - nature.com
Previous literature has highlighted the importance of maternal behavior during the prenatal
period for the upbringing of healthy adults. During pregnancy, fetal health assessments are …
period for the upbringing of healthy adults. During pregnancy, fetal health assessments are …
Deep learning for predicting rehospitalization in acute heart failure: Model foundation and external validation
MN Kim, YS Lee, Y Park, A Jung, H So, J Park… - ESC Heart …, 2024 - Wiley Online Library
Aims Assessing the risk for HF rehospitalization is important for managing and treating
patients with HF. To address this need, various risk prediction models have been developed …
patients with HF. To address this need, various risk prediction models have been developed …
Prediction of heart failure patients with distinct left ventricular ejection fraction levels using circadian ECG features and machine learning
Heart failure (HF) encompasses a diverse clinical spectrum, including instances of transient
HF or HF with recovered ejection fraction, alongside persistent cases. This dynamic …
HF or HF with recovered ejection fraction, alongside persistent cases. This dynamic …
[HTML][HTML] Circadian assessment of heart failure using explainable deep learning and novel multi-parameter polar images
Background and objective Heart failure (HF) is a multi-faceted and life-threatening syndrome
that affects more than 64.3 million people worldwide. Current gold-standard screening …
that affects more than 64.3 million people worldwide. Current gold-standard screening …
[HTML][HTML] Deep learning identifies cardiac coupling between mother and fetus during gestation
In the last two decades, stillbirth has been a major problem that caused around 2 million
fetal deaths worldwide. Although current ultrasound tools are reliably used for the …
fetal deaths worldwide. Although current ultrasound tools are reliably used for the …
Heart Failure Assessment Using Multiparameter Polar Representations and Deep Learning *
Heart failure refers to the inability of the heart to pump enough amount of blood to the body.
Nearly 7 million people die every year because of its complications. Current gold-standard …
Nearly 7 million people die every year because of its complications. Current gold-standard …
Leveraging machine learning techniques to forecast chronic total occlusion before coronary angiography
Y Shi, Z Zheng, Y Liu, Y Wu, P Wang, J Liu - Journal of Clinical Medicine, 2022 - mdpi.com
Background: Chronic total occlusion (CTO) remains the most challenging procedure in
coronary artery disease (CAD) for interventional cardiology. Although some clinical risk …
coronary artery disease (CAD) for interventional cardiology. Although some clinical risk …