• Artificial intelligence algorithms have shown promising results in accurately diagnosing and risk stratifying patients with concern for coronary artery disease, showing potential as an initial triage tool, though few studies have directly compared the accuracy of machine learning models to clinician diagnostic ability. (wikipedia.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)
  • The treatment goals for patients with coronary artery atherosclerosis are to relieve symptoms of coronary artery disease (CAD) and to prevent future cardiac events, such as unstable angina, AMI, and death. (medscape.com)
  • Results of the Clopidogrel After Surgery for Coronary Artery Disease (CASCADE) trial confirmed that this practice independently associated with improved graft patency, as demonstrated by coronary angiography and saphenous vein graft intravascular ultrasonography. (medscape.com)
  • The Centers for Disease Control and Prevention (CDC) cannot attest to the accuracy of a non-federal website. (cdc.gov)
  • Historically these models have been evaluated using overall metrics that measure how close predictions are to monitoring data. (biomedcentral.com)
  • For better prevention and intervention, relevant guidelines recommend using predictive models for early detection of ASCVD high-risk groups. (biomedcentral.com)
  • European Guidelines on cardiovascular disease prevention in clinical practice (version 2012). (acpjournals.org)
  • 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)
  • [ 1 ] The prevention and treatment of atherosclerosis requires control of the known modifiable risk factors for this disease. (medscape.com)
  • 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)
  • 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)
  • The present parameters of the LCA model included 68 disease labels that were frequent among this population. (bvsalud.org)
  • This provides an excellent opportunity to intervene in order to reduce the number and severity of cardiovascular events. (medscape.com)
  • Specifically, they are useful to analyse a disease with an increasing degree of severity, that may precede death. (biomedcentral.com)
  • Therefore, this study aims to establish a population ASCVD prediction model in rural areas of Xinjiang using survival analysis. (biomedcentral.com)
  • A Cox regression, Lasso-Cox regression, and random survival forest (RSF) model were established in the training set. (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)
  • A multistate model (MSM) generalizes the classic survival modelling allowing the description of complex dynamical processes over time. (biomedcentral.com)
  • A better understanding of the pathomechanics of these sensorineural and vascular diseases in fingers requires a formulation of a biomechanical model of the fingertips and analyses to predict the mechanical responses of the soft tissues to dynamic loading. (cdc.gov)
  • 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)
  • Because time is an explicit parameter incorporated in species-specific constants such as mu- cociliary clearance rates used in the models, the impact of the application of optimal model structures to refine adjustments and assumptions used in default risk assessment approaches to address exposure duration are discussed. (cdc.gov)
  • 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)
  • Cardiovascular disease and central nervous symptoms play an important role in prognostic models of influenza. (signavitae.com)
  • Modelling the course of a disease regarding severe events and identifying prognostic factors is of great clinical relevance. (biomedcentral.com)
  • Evaluating prediction models at timescales relevant for health studies is critical to determining whether model error will impact estimated health associations. (biomedcentral.com)
  • The Chemical Transport models allow for a permanent monitoring and prediction of pollutant behavior for all the regions of interest, different to the sensor network where the concentration is just available in specific points. (intechopen.com)
  • In this chapter a data assimilation system for the LOTOS-EUROS chemical transport model has been implemented to improve the simulation and forecast of Particulate Matter in a densely populated urban valley of the tropical Andes. (intechopen.com)
  • obesity and cardiovascular disease, decreasing variation and inappropriate cardiac utilization. (acc.org)
  • Without information about study-specific context, it is impossible to provide an unqualified assessment of a model that is informative about the specific application. (biomedcentral.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)
  • In the present study, a model based on finite element techniques has been developed to simulate the mechanical responses of the fingertips to dynamic loading. (cdc.gov)
  • We employ Structural Equation Modeling (SEM) to elucidate the ramification of the COVID-19 pandemic on CVDs while accommodating potential mediating and confounding variables, including socioeconomic status, PA levels, body mass index (BMI), and gender, in the context of the pandemic and CVDs. (bvsalud.org)
  • Results: Our empirical models indicated a tendency for older adults of lower socioeconomic status (SES) to exhibit diminished levels of physical activity (PA) compared to their counterparts of higher SES, particularly considering the influence of the COVID-19 pandemic. (bvsalud.org)
  • The net reclassification improvement (NRI) is an increasingly popular measure for evaluating improvements in risk predictions. (acpjournals.org)
  • Using different experiments and observations sources, we shown how the Data Assimilation can improve the model representation of pollutants. (intechopen.com)
  • The modeling work focuses on the ecosystems and human health impact due to the exposition of several pollutants transported from long-range places and deposited. (intechopen.com)
  • The effects of PM on human health, associated especially with PM of ≤2.5μm in diameter, include asthma, lung cancer and cardiovascular disease. (intechopen.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)
  • Artificial intelligence in healthcare is an overarching term used to describe the use of machine-learning algorithms and software, or artificial intelligence (AI), to mimic human cognition in the analysis, presentation, and comprehension of complex medical and health care data, or to exceed human capabilities by providing new ways to diagnose, treat, or prevent disease. (wikipedia.org)
  • To gain useful insights and predictions, machine learning models must be trained using extensive amounts of input data. (wikipedia.org)
  • Thirty-four articles were included in the review, and relevant data were extracted from the risk prognosis model. (signavitae.com)
  • The era of big data has enabled sophisticated models to predict air pollution concentrations over space and time. (biomedcentral.com)
  • This new generation of models provides air pollution prediction at finer spatial and temporal scales by leveraging multiple sources of data such as satellite data, computer weather models, chemistry models, land use data, emissions source information, and/or pollution monitoring data. (biomedcentral.com)
  • To fit the model, the data to be analysed must be upload in a prespecified format. (biomedcentral.com)
  • For instance, the app MSMshiny [ 4 ] aims to fit multistate models. (biomedcentral.com)
  • In simulations, frequency band model performance rates predictions better (lower RMSE, higher correlation) when there is no error at a particular timescale (e.g., acute) and worse when error is added to that timescale, compared to overall approaches. (biomedcentral.com)
  • Further, frequency band model performance is more strongly associated ( R 2 = 0.95) with health association bias compared to overall approaches ( R 2 = 0.57). (biomedcentral.com)
  • For epidemiologic studies, frequency band model performance provides an improvement over existing approaches because it evaluates models at the timescale of interest and is more strongly associated with bias in estimated health associations. (biomedcentral.com)
  • Mathematical modeling is a powerful tool for prediction and investigation of cardiovascular diseases. (kobv.de)
  • Due to that, a web tool has been developed making easier to work with those models. (biomedcentral.com)
  • OBJECTIVE: To provide quantitative evidence for systematically prioritising individuals for full formal cardiovascular disease (CVD) risk assessment using primary care records with a novel tool (eHEART) with age- and sex- specific risk thresholds. (bvsalud.org)
  • The proposed model is two-dimensional and incorporates the essential anatomical structures of a finger: skin, subcutaneous tissue, bone, and nail. (cdc.gov)
  • Since these type of models are usually complex, different tools have been developed to ease the modellization process and to help with the interpretability of the findings. (biomedcentral.com)
  • GLM applied to patients with MetS classes showed that cardiovascular diseases or complex conditions, including malignancies, were powerful determinants of medical cost and mortality. (bvsalud.org)
  • MetS classes with cardiovascular diseases or complex conditions, including malignancies, have a significant impact on medical costs and mortality. (bvsalud.org)
  • Despite MSMshiny allows to make predictions, the outputs are limited and they do not help in the interpretation of the results. (biomedcentral.com)
  • Given the development of modern prediction models, it is natural to want to evaluate their performance. (biomedcentral.com)
  • Among the main limitations of this app, we highlight that once a transition has been defined, it cannot be removed anymore and that the model cannot be validated through a residual analysis. (biomedcentral.com)
  • Moreover, subgroup analysis was performed using a generalized linear model (GLM) to assess the factors influencing annual medical cost and 5-year mortality. (bvsalud.org)
  • 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)
  • 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)
  • Cardiovascular diseases are one of the major problems in medicine today and the number of patients increases worldwide. (kobv.de)
  • 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)
  • 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)
  • We introduce frequency band model performance, which quantifies health estimation capacity of air quality prediction models for time series studies of air pollution and health. (biomedcentral.com)
  • Frequency band model performance uses a discrete Fourier transform to evaluate prediction models at timescales of interest. (biomedcentral.com)
  • We apply frequency band model performance to PM 2.5 predictions at 17 monitors in 8 US cities. (biomedcentral.com)
  • For PM 2.5 predictions in Salt Lake City, UT, frequency band model performance better identifies acute error that may impact estimated short-term health associations. (biomedcentral.com)
  • Multistate models (MSM) can be used to describe diseases or processes that change over time using different states and the transitions between them. (biomedcentral.com)
  • Modeling of time-dependent force response of fingertip to dynamic loading. (cdc.gov)
  • The model predictions of the time-histories of force response of the fingertip and the phenomenon of fingertip separation from the contacting plate during cyclic loading agree well with the reported experimental observations. (cdc.gov)
  • Dosimetry models for the lower respiratory tract (LRT) of humans and rats are used to calculate deposition and retention using the principle of particle mass balance in the lower respiratory tract. (cdc.gov)
  • 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)
  • As a result of obtaining 30 latent classes, the kidney disease class required the most expensive cost per capita, while the highest portion (28.6%) of the total medical cost was spent on metabolic syndrome (MetS) classes, which were characterized by hypertension, dyslipidemia, and type 2 diabetes. (bvsalud.org)