Aims Previous studies have suggested an association between retinal artery occlusion (RAO) and ischaemic stroke (IS), both associated with elevated inflammatory factors. However, the role of ...
The proposed model extracts the pertinent features using an RFE with a Logistic Regression classifier and evaluates the feature significance in Parkinson’s disease prediction using eXplainable ...
This study highlights the potential of saliva-based metabolomics and AI in prenatal diagnostics, improving detection rates ...
The test is noninvasive, using 10 electrodes attached to the body that transmit your heart's electrical activity to an ECG machine that creates the characteristic wave patterns. ECGs can be used to ...
The researchers performed numerous statistical analyses on the data, including multivariate logistic regression models ... conditions such as coronary heart disease, heart failure, or heart ...
Eventually, these conditions can lead to end-stage heart failure and/or death. End-stage heart failure means that both sides of the heart fail to pump enough blood to sustain your body. A blood test ...
To address this, CVD prevention plans rely on prediction models like atherosclerotic cardiovascular disease (ASCVD) risk scores to estimate the risk of heart disease. However, previous studies ...
In older patients, hypertension creates increased shear stress and plaque rupture. Systolic hypertension (>140mm Hg) and diastolic hypertension (>90mm Hg) are directly related to increased risk of ...
In addition to regular exercise and not smoking, diet is one of the best ways to protect your heart. That’s because inflammation, blood pressure, cholesterol, and other heart disease risk ...
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Data collected by wearable technology can identify disease flare-ups up to ... intelligence to develop algorithms using wearable device data to predict flares on an individualized basis.
Wearable devices can identify, differentiate, and predict flare-ups, or the worsening of symptoms and inflammation, in inflammatory bowel disease (IBD ... patterns of heart rate variability ...