This map shows the concentration of the burden of chronic disease deaths in the Appalachian region of the state, pri- marily in the southern end of the Appalachian region. Age- adjusted death rates per 100,000 people are represented in shades of blue with the darkest shades showing the ...
[See a map of the U.S. with heart disease risk for each state] Nationally, the researchers' calculations predicted that 14.6 percent of men and 7.5 percent of women will develop heart disease over the next 10 years. For men, the risk ranged from a low of 13.2 percent in Utah to a ...
Mortality from heart and circulatory disease – the leading cause of death in the UK – declined in most places between 1982 and 2006, but for men and women aged 65 or older, the decline was smaller in the most deprived communities, resulting in a wider gap between rich and poor. The au...
Coronary heart disease (CHD) is a serious cardiovascular disease (CVD)1that not only has a high mortality rate but also patients are prone to the risk of recurrence even after they are cured and discharged from the hospital, both of which are prognosis-oriented factors for poor outcomes. The...
dhis the hidden state dimension of the Transformer Encoder,iis an index of the attention heads,nis the number of the attention heads (in this study, we setn = 8),xdenotes the input feature, andxodenotes the output feature. After being processed by the self-attention module, the ...
as elucidated by the finding that regulatory T lymphocytes are reduced in HCMV-infected patients[23, 24], which disturbs the balance of immune suppression, thus inducing a highly inflammatory state, and further leading to the occurrence and development of coronary artery disease in patients with CH...
Indices of ventricular function are affected by biologic variation, disease, heart rate and rhythm, drug therapy, and a host of technical factors. Two specific limitations of tissue Doppler based assessments of ventricular function are the influence of tethering of adjacent segments on tissue motion ...
While the current approach identifies HF phenotypes by clustering on aggregated complaints extracted from entire patient timelines, an important direction for future research is to (1) analyze the progression of HF patients and the evolution of their disease state over time, and (2) study the ...
Liu et al. addressed this problem by decomposing the images via a Laplacian pyramid and a weight map [86] instead of direct coefficients so as to preserve source image detail. A combination of CNN and sparse autoencoders (SAE) was used to fuse multimodal neural image data from MRI and ...
These models frequently study isolated cell types and minimize or ignore other heart cells (e.g., epicardial cells, endocardial cells) or the contribution of cell-cell communication to a disease phenotype. There is a strong demand to bridge this technological and knowledge gap, as producing ...