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Technological advancements and elucidation gadgets for Healthcare applications: An exhaustive methodological review-part-I (AI, big data, block chain, open-source …
In the realm of the emergence and spread of infectious diseases with pandemic potential
throughout the history, plenty of pandemics (and epidemics), from the plague to AIDS (1981) …
throughout the history, plenty of pandemics (and epidemics), from the plague to AIDS (1981) …
Comparison of deep learning approaches to predict COVID-19 infection
The SARS-CoV2 virus, which causes COVID-19 (coronavirus disease) has become a
pandemic and has expanded all over the world. Because of increasing number of cases day …
pandemic and has expanded all over the world. Because of increasing number of cases day …
PulDi-COVID: Chronic obstructive pulmonary (lung) diseases with COVID-19 classification using ensemble deep convolutional neural network from chest X-ray …
Abstract Background and Objective In the current COVID-19 outbreak, efficient testing of
COVID-19 individuals has proven vital to limiting and arresting the disease's accelerated …
COVID-19 individuals has proven vital to limiting and arresting the disease's accelerated …
Big-ECG: Cardiographic predictive cyber-physical system for stroke management
Electrocardiogram (ECG) is sensitive to autonomic dysfunction and cardiac complications
derived from ischemic or hemorrhage stroke and is supposed to be a potential prognostic …
derived from ischemic or hemorrhage stroke and is supposed to be a potential prognostic …
Explainable prediction of acute myocardial infarction using machine learning and shapley values
The early and accurate detection of the onset of acute myocardial infarction (AMI) is
imperative for the timely provision of medical intervention and the reduction of its mortality …
imperative for the timely provision of medical intervention and the reduction of its mortality …
[HTML][HTML] Computer modeling of the heart for ECG interpretation—a review
Computer modeling of the electrophysiology of the heart has undergone significant
progress. A healthy heart can be modeled starting from the ion channels via the spread of a …
progress. A healthy heart can be modeled starting from the ion channels via the spread of a …
Exploration of physiological sensors, features, and machine learning models for pain intensity estimation
In current clinical settings, typically pain is measured by a patient's self-reported information.
This subjective pain assessment results in suboptimal treatment plans, over-prescription of …
This subjective pain assessment results in suboptimal treatment plans, over-prescription of …
Machine learning ECG classification using wavelet scattering of feature extraction
The heart's electrical activity is registered by an electrocardiogram (ECG), which consists of
a wealth of pathological data on heart diseases such as arrhythmia. However, with …
a wealth of pathological data on heart diseases such as arrhythmia. However, with …
In silico study of the mechanisms of hypoxia and contractile dysfunction during ischemia and reperfusion of hiPSC cardiomyocytes
M Forouzandehmehr, M Paci… - Disease Models & …, 2024 - journals.biologists.com
Interconnected mechanisms of ischemia and reperfusion (IR) has increased the interest in
IR in vitro experiments using human induced pluripotent stem cell-derived cardiomyocytes …
IR in vitro experiments using human induced pluripotent stem cell-derived cardiomyocytes …
An ECG generative model of myocardial infarction
W Que, C Han, X Zhao, L Shi - Computer Methods and Programs in …, 2022 - Elsevier
Abstract Background and Objective Computer-aided diagnosis (CAD) of Myocardial
Infarction (MI) using machine learning depends on a large amount of clinical …
Infarction (MI) using machine learning depends on a large amount of clinical …