• With the increase in aging and cardiovascular risk factors, the morbidity and mortality of atherosclerotic cardiovascular disease (ASCVD), represented by ischemic heart disease and stroke, continue to rise in China. (biomedcentral.com)
  • Atherosclerotic cardiovascular disease (ASCVD), which mostly involves heart attacks and strokes caused by atherosclerosis, is one of the main causes of death worldwide [ 1 ]. (biomedcentral.com)
  • The purpose of this study was to estimate decreases in 10-year atherosclerotic cardiovascular disease (ASCVD) risk associated with EvidenceNOW, an initiative spanning multiple states that sought to improve cardiovascular preventive care by providing supportive interventions such as practice facilitation to address the "ABCS": (A)spirin for high-risk patients, (B)lood pressure control for hypertensive people, (C)holesterol management, and (S)moking screening and cessation counseling. (ahrq.gov)
  • Abstract Computer-aided arrhythmia prediction from ECG (electrocardiograms) is essential in clinical practices, which promises to reduce the mortality caused by inexperienced clinical practitioners. (techscience.com)
  • The decision tree model prioritized age and history of hospital admission as predictors of mortality. (who.int)
  • The World Health Organization declared the outbreak of cal risk prediction score for COVID-19 mortality, severity coronavirus disease 2019 (COVID-19) caused by severe and complications and triage recommendations can be acute respiratory syndrome coronavirus 2 (SARS-CoV-2) 1 determined from current signs and symptoms, comorbidi- to be a public health emergency of international concern ties, medical history and demographics. (who.int)
  • Early recognition of potentially terrible outcomes is important in the emergency department (ED). Efficient prognosis of the disease is conducive to reducing the financial burden and providing appropriate care for patients. (signavitae.com)
  • Thirty-four articles were included in the review, and relevant data were extracted from the risk prognosis model. (signavitae.com)
  • This systematic review compared different types of models for predicting the prognosis of influenza infection, informing us of risk factors for the predictive model in predicting the prognosis of influenza in the early stage. (signavitae.com)
  • The aim of this study is to present a systematic review of studies that have used DL based on mHealth data for the diagnosis, prognosis, management, and treatment of major chronic diseases and advance our understanding of the progress made in this rapidly developing field. (techscience.com)
  • We will review several projects based on the use of panels of biomarkers for a better understanding of risk of disease and prognosis. (lu.se)
  • For better prevention and intervention, relevant guidelines recommend using predictive models for early detection of ASCVD high-risk groups. (biomedcentral.com)
  • Therefore, this study aims to establish a population ASCVD prediction model in rural areas of Xinjiang using survival analysis. (biomedcentral.com)
  • Traditional ASCVD prediction models (Framingham and China-PAR models) were constructed in the test set. (biomedcentral.com)
  • Different models' discrimination and calibration degrees were compared to find the optimal prediction model for this population according to different genders and further analyze the risk factors of ASCVD. (biomedcentral.com)
  • The performance of the ASCVD prediction model based on the RSF algorithm is better than that based on Cox regression, Lasso-Cox, and the traditional ASCVD prediction model in the rural population of Xinjiang. (biomedcentral.com)
  • Currently, the most commonly used survival analysis method is the Cox proportional hazards model, and most traditional ASCVD prediction models are constructed based on this model. (biomedcentral.com)
  • and (3) 10-year ASCVD risk prediction equations. (ahrq.gov)
  • The model parameters were determined by cross-validation and parameter tuning and then verified in the training set. (biomedcentral.com)
  • A computational model for end-to-side anastomosis (superior ulnar collateral anastomosis with posterior ulnar recurrent, SUC-PUR) is carried out to study the effects of some clinically relevant haemodynamic parameters like blood flow resistance and terminal re- sistance on pressure and flow at different locations of the arm artery. (kobv.de)
  • The sensitivities with respect to cardiovascular parameters reveal the flow resistance and diameter of the vessels as most sensitive parameters. (kobv.de)
  • Enormous studies focused on disease prediction but depending on multiple parameters, further investigations are required to upgrade the clinical procedures. (techscience.com)
  • The Fifth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (constituted by representatives of nine societies and by invited experts). (acpjournals.org)
  • Cardiovascular disease and central nervous symptoms play an important role in prognostic models of influenza. (signavitae.com)
  • COVID-19 data sets be used to create more robust prognostic models. (who.int)
  • Background: Magnetic resonance imaging-based technologies are non-invasive diagnostic tests that can be used to assess non-alcoholic fatty liver disease. (bvsalud.org)
  • Diagnostic test accuracy estimates were calculated using bivariate models and a summary receiver operating characteristic curve was calculated using a hierarchical model. (bvsalud.org)
  • Results: The diagnostic test accuracy review (13 studies) and the clinical impact review (11 studies) only included one study that provided evidence for patients who had indeterminate or discordant results from fibrosis testing. (bvsalud.org)
  • Abstract Machine Learning (ML) has changed clinical diagnostic procedures drastically. (techscience.com)
  • Predictive model ing could greatly help low- and have been 1 681 925 recoveries and 31 810 deaths. (who.int)
  • 6 Predictive model ing may also help to inform least one positive reverse transcription-polymerase chain patients about the possible course of their il ness and reaction test of a respiratory swab. (who.int)
  • obesity and cardiovascular disease, decreasing variation and inappropriate cardiac utilization. (acc.org)
  • BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) is rapidly increasing alongside overweight and obesity, not only in adults but also in children and adolescents. (bvsalud.org)
  • European Guidelines on cardiovascular disease prevention in clinical practice (version 2012). (acpjournals.org)
  • In this paper, we have applied parametric local sensitivity analysis (LSA) to a linear elastic model of the arm arteries, to find and rank sensitive param- eters that may be helpful in clinical diagnosis. (kobv.de)
  • Abstract Major chronic diseases such as Cardiovascular Disease (CVD), diabetes, and cancer impose a significant burden on people and healthcare systems around the globe. (techscience.com)
  • Recently, Deep Learning (DL) has shown great potential for the development of intelligent mobile Health (mHealth) interventions for chronic diseases that could revolutionize the delivery of health care anytime, anywhere. (techscience.com)
  • A Cox regression, Lasso-Cox regression, and random survival forest (RSF) model were established in the training set. (biomedcentral.com)
  • Limitations and controversies are discussed, including the effect of miscalibration of prediction models, the use of the continuous NRI and "clinical NRI," and the relation with decision analytic measures. (acpjournals.org)
  • If the study involved animals, children, pregnant women or the study type was pragmatic and explanatory clinical trial, guideline, protocol, letter, a case report was also excluded. (signavitae.com)
  • These individual-specific models-which take up to six hours using a supercomputer-will allow for a detailed study of the cardiovascular system and lead to early predictions of heart conditions such as arteriosclerosis, or the hardening of arteries that often leads to heart attacks. (eurekalert.org)
  • The aim of this study was to create a decision tree model with machine learning to predict the outcomes of COVID-19 cases from data publicly available in the Philippine Department of Health (DOH) COVID Data Drop. (who.int)
  • They recommended that future research should evaluate clinical outcomes associated with more comprehensive insurance coverage. (ahrq.gov)
  • Prediction models containing several features to estimate the risk of patients with confirmed infection could help clinicians give appropriate treatment when health care resources are limited. (signavitae.com)
  • A way of improving the system is by enabling healthcare workers to select appropriate machine learning algorithms for prediction and, secondly, by preserving the privacy of patient data so that it cannot be misused. (techscience.com)
  • The purpose of this paper is to combine these promising technologies to maintain the privacy of patient data during the disease prediction process. (techscience.com)
  • To find the most efficient treatment, prior knowledge about function and dysfunction of the cardiovas- cular system is required and methods need to be developed that identify the disease in an early stage. (kobv.de)
  • It has been shown that the Windkessel model, being based on an analogy between electrical circuits and fluid flow, is a simple but effective method to model the human cardiovascular system. (kobv.de)
  • EPFL Laboratory of Multiscale Modeling of Materials, in Switzerland, has developed a flowing 3D model of the cardiovascular system that should allow for predictions of certain heart diseases before they become dangerous. (eurekalert.org)
  • Modeling of Materials has recently developed a computer program the accurately models the complex system of blood flow in the heart for individuals at an unheard-of precision of ten millionths of a meter or ten microns. (eurekalert.org)
  • 1. Kannel WB , Dawber TR , Kagan A , Revotskie N , Stokes J . Factors of risk in the development of coronary heart disease-six year follow-up experience. (acpjournals.org)
  • By comparing the discrimination and calibration degrees of each model, the RSF showed the best prediction performance in males and females (male: Area Under Curve (AUC) 0.791 (95%CI 0.767,0.813), C statistic 0.780 (95%CI 0.730,0.829), Brier Score (BS):0.060, female: AUC 0.759 (95%CI 0.734,0.783) C statistic was 0.737 (95%CI 0.702,0.771), BS:0.110). (biomedcentral.com)
  • This article details a review of 67 publications in high-impact general clinical journals that considered the NRI. (acpjournals.org)
  • Results from the clinical impact review suggested that acceptability of LiverMultiScan was generally positive. (bvsalud.org)
  • Particularly, computer-aided arrhythmia prediction methods highly adopted machine learning methods. (techscience.com)
  • A simple decision-tree model was developed to generate cost-effectiveness results. (bvsalud.org)
  • Machine learning processes were used to generate, train and validate a decision tree model. (who.int)
  • This manuscript addressed the high dimensionality in the learning phase and proposed an (Ensemble Learning method for Arrhythmia Prediction) ELAP (ensemble learning-based arrhythmia prediction). (techscience.com)
  • Cardiovascular diseases are one of the major problems in medicine today and the number of patients increases worldwide. (kobv.de)
  • In addition we will address important areas of modern epidemiology such as the influence of early life factors on adult health and disease, but also the importance of the gene-diet-microbiota interaction for body function and health. (lu.se)
  • However, the high dimensionality in feature values considered for the machine learning models' training phase often causes false alarming. (techscience.com)
  • Machine learning is the buzz of computer-aided clinical practices. (techscience.com)
  • The model predicted higher case fatality rates among older people. (who.int)