Results 21 to 30 of about 41,384 (120)
AI-enabled Assessment of Cardiac Systolic and Diastolic Function from Echocardiography [PDF]
MICCAI ASMUS 2020, 2022 Left ventricular (LV) function is an important factor in terms of patient management, outcome, and long-term survival of patients with heart disease. The most recently published clinical guidelines for heart failure recognise that over reliance on only one measure of cardiac function (LV ejection fraction) as a diagnostic and treatment stratification ...
arxiv
A Multi-Trait Approach Identified Genetic Variants Including a Rare Mutation in RGS3 with Impact on Abnormalities of Cardiac Structure/Function [PDF]
arXiv, 2018 Heart failure is a major cause for premature death. Given heterogeneity of the heart failure syndrome, identifying genetic determinants of cardiac function and structure may provide greater insights into heart failure. Despite progress in understanding the genetic basis of heart failure through genome wide association studies, heritability of heart ...
arxiv
Machine Learning Based on Natural Language Processing to Detect Cardiac Failure in Clinical Narratives [PDF]
arXiv, 2021 The purpose of the study presented herein is to develop a machine learning algorithm based on natural language processing that automatically detects whether a patient has a cardiac failure or a healthy condition by using physician notes in Research Data Warehouse at CHU Sainte Justine Hospital.
arxiv
ROC Analysis and a Realistic Model of Heart Rate Variability [PDF]
arXiv, 1998 We have carried out a pilot study on a standard collection of electrocardiograms from patients who suffer from congestive heart failure, and subjects without cardiac pathology, using receiver-operating-characteristic (ROC) analysis. The scale-dependent wavelet-coefficient standard deviation \sigma_{wav}(m), a multiresolution-based analysis measure, is ...
arxiv
Cardiac Function and Heart Failure
Journal of the American College of Cardiology, 2006 For the ACC.06 Scientific Sessions, the Program Committee received 736 submissions in the area of heart failure (HF), 244 of which were accepted for presentation. Although there were a limited number of large HF clinical trials, HF and cardiac function topics were well represented in various ...
Christopher M. O'Connor +2 more
openaire +3 more sources
Joint analysis of clinical risk factors and 4D cardiac motion for survival prediction using a hybrid deep learning network [PDF]
NeurIPS 2019, Medical Imaging meets NIPS, 2019 In this work, a novel approach is proposed for joint analysis of high dimensional time-resolved cardiac motion features obtained from segmented cardiac MRI and low dimensional clinical risk factors to improve survival prediction in heart failure.
arxiv
A Bootstrap Machine Learning Approach to Identify Rare Disease Patients from Electronic Health Records [PDF]
arXiv, 2016 Rare diseases are very difficult to identify among large number of other possible diagnoses. Better availability of patient data and improvement in machine learning algorithms empower us to tackle this problem computationally. In this paper, we target one such rare disease - cardiac amyloidosis.
arxiv
Cardiac Function and Heart Failure
Journal of the American College of Cardiology, 2005 A total of 811 abstracts were submitted in the area of Cardiac Function and Heart Failure. These are shown by sub-topic in [Figure 1][1].Each abstract was evaluated by 5 to 7 reviewers, 281 were selected for presentation, and 19 are highlighted in the following review.
Division of Cardiovascular Medicine, University of Florida College of Medicine, Gainesville, Florida ( host institution ) +1 more
openaire +4 more sources