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Smart technologies used as smart tools in the management of cardiovascular disease and their future perspective
Cardiovascular disease (CVD) is a leading cause of morbidity and mortality worldwide. The
advent of smart technologies has significantly impacted the management of CVD, offering …
advent of smart technologies has significantly impacted the management of CVD, offering …
Performance of the Framingham risk models and pooled cohort equations for predicting 10-year risk of cardiovascular disease: a systematic review and meta-analysis
JA Damen, R Pajouheshnia, P Heus, KGM Moons… - BMC medicine, 2019 - Springer
Abstract Background The Framingham risk models and pooled cohort equations (PCE) are
widely used and advocated in guidelines for predicting 10-year risk of develo** coronary …
widely used and advocated in guidelines for predicting 10-year risk of develo** coronary …
Risk prediction of covid-19 related death and hospital admission in adults after covid-19 vaccination: national prospective cohort study
Objectives To derive and validate risk prediction algorithms to estimate the risk of covid-19
related mortality and hospital admission in UK adults after one or two doses of covid-19 …
related mortality and hospital admission in UK adults after one or two doses of covid-19 …
Living risk prediction algorithm (QCOVID) for risk of hospital admission and mortality from coronavirus 19 in adults: national derivation and validation cohort study
Objective To derive and validate a risk prediction algorithm to estimate hospital admission
and mortality outcomes from coronavirus disease 2019 (covid-19) in adults. Design …
and mortality outcomes from coronavirus disease 2019 (covid-19) in adults. Design …
Development and validation of QRISK3 risk prediction algorithms to estimate future risk of cardiovascular disease: prospective cohort study
Objectives To develop and validate updated QRISK3 prediction algorithms to estimate the
10 year risk of cardiovascular disease in women and men accounting for potential new risk …
10 year risk of cardiovascular disease in women and men accounting for potential new risk …
Deep survival analysis
The electronic health record (EHR) provides an unprecedented opportunity to build
actionable tools to support physicians at the point of care. In this paper, we introduce deep …
actionable tools to support physicians at the point of care. In this paper, we introduce deep …
Prediction and diagnosis of depression using machine learning with electronic health records data: a systematic review
Background Depression is one of the most significant health conditions in personal, social,
and economic impact. The aim of this review is to summarize existing literature in which …
and economic impact. The aim of this review is to summarize existing literature in which …
A systematic review of risk factors associated with depression and anxiety in cancer patients
Depression and anxiety are common comorbid conditions associated with cancer, however
the risk factors responsible for the onset of depression and anxiety in cancer patients are not …
the risk factors responsible for the onset of depression and anxiety in cancer patients are not …
High-risk prediction of cardiovascular diseases via attention-based deep neural networks
Y An, N Huang, X Chen, F Wu… - IEEE/ACM transactions …, 2019 - ieeexplore.ieee.org
High-risk prediction of cardiovascular disease is of great significance and impendency in
medical fields with the increasing phenomenon of sub-health these years. Most existing …
medical fields with the increasing phenomenon of sub-health these years. Most existing …
Creating fair models of atherosclerotic cardiovascular disease risk
Guidelines for the management of atherosclerotic cardiovascular disease (ASCVD)
recommend the use of risk stratification models to identify patients most likely to benefit from …
recommend the use of risk stratification models to identify patients most likely to benefit from …