Results 31 to 40 of about 1,364 (52)

Indicadores antropométricos relacionados à obesidade de adultos assistidos pela equipe de saúde da família (ESF) da cidade de Montes Claros â MG

open access: yes, 2008
O presente estudo objetivou avaliar os indicadores antropométricos relacionados à obesidade de adultos assistidos pela equipe de saúde da família (ESF) da cidade de Montes Claros â MG.
Barral, Marcela O.   +3 more
core  

Eye2Heart : a validated lumped-parameter model bridging cardiovascular and ocular dynamics [PDF]

open access: yesarXiv
The cardiovascular and ocular systems are intricately connected, with hemodynamic interactions playing a crucial role in both physiological regulation and pathological conditions. However, existing models often treat these systems separately, limiting the understanding of their interdependence.
arxiv  

Respostas cardiovasculares agudas em exercício resistido: implicações para prescrição de exercício

open access: yes, 2010
Estudos têm demonstrado que respostas cardiovasculares em exercício resistido (ER) são seguras em diversas populações. Assim, o ER é considerado como componente primordial para a melhora da aptidão física, inclusive de cardíacos.
Camara, Fabiano Marques   +2 more
core  

Clustering Analysis of Long-term Cardiovascular Complications in COVID-19 Patients [PDF]

open access: yesarXiv
This study investigates long-term cardiovascular complications in COVID-19 patients using advanced clustering techniques. The objective was to analyse ECG parameters, demographic data, comorbidities, and hospitalization details to identify patterns in cardiovascular health outcomes.
arxiv  

A Survey of Challenges and Opportunities in Sensing and Analytics for Cardiovascular Disorders [PDF]

open access: yesarXiv, 2019
Cardiovascular disorders account for nearly 1 in 3 deaths in the United States. Care for these disorders are often determined during visits to acute care facilities, such as hospitals. While the length of stay in these settings represents just a small proportion of patients' lives, they account for a disproportionately large amount of decision making ...
arxiv  

Mathematical models of cardiovascular control by the autonomic nervous system [PDF]

open access: yesarXiv, 2018
This PhD thesis develops an integrated mathematical model for autonomic nervous system control on cardiovascular activity. The model extensively covers cardiovascular neural pathways including a wide range of afferent sensory neurons, central processing by autonomic premotor neurons, efferent outputs via preganglionic and postganglionic autonomic ...
arxiv  

Novel AI-Based Quantification of Breast Arterial Calcification to Predict Cardiovascular Risk [PDF]

open access: yesarXiv
Women are underdiagnosed and undertreated for cardiovascular disease. Automatic quantification of breast arterial calcification on screening mammography can identify women at risk for cardiovascular disease and enable earlier treatment and management of disease.
arxiv  

Comparing learning algorithms in neural network for diagnosing cardiovascular disease [PDF]

open access: yesarXiv, 2016
Today data mining techniques are exploited in medical science for diagnosing, overcoming and treating diseases. Neural network is one of the techniques which are widely used for diagnosis in medical field. In this article efficiency of nine algorithms, which are basis of neural network learning in diagnosing cardiovascular diseases, will be assessed ...
arxiv  

Automating Adjudication of Cardiovascular Events Using Large Language Models [PDF]

open access: yesarXiv
Cardiovascular events, such as heart attacks and strokes, remain a leading cause of mortality globally, necessitating meticulous monitoring and adjudication in clinical trials. This process, traditionally performed manually by clinical experts, is time-consuming, resource-intensive, and prone to inter-reviewer variability, potentially introducing bias ...
arxiv  

Identification of cardiovascular diseases through ECG classification using wavelet transformation [PDF]

open access: yesarXiv
Cardiovascular diseases are the leading cause of mortality globally, necessitating advancements in diagnostic techniques. This study explores the application of wavelet transformation for classifying electrocardiogram (ECG) signals to identify various cardiovascular conditions.
arxiv  

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