AIMC Topic: Cardiovascular Diseases
Clear Filters Showing 581 to 590 of 664 articles
Cardiovascular informatics: building a bridge to data harmony.
Cardiovascular research
Feb 21, 2022
The search for new strategies for better understanding cardiovascular (CV) disease is a constant one, spanning multitudinous types of observations and studies. A comprehensive characterization of each disease state and its biomolecular underpinnings ...
Neural network-based integration of polygenic and clinical information: development and validation of a prediction model for 10-year risk of major adverse cardiac events in the UK Biobank cohort.
The Lancet. Digital health
Feb 1, 2022
BACKGROUND: In primary cardiovascular disease prevention, early identification of high-risk individuals is crucial. Genetic information allows for the stratification of genetic predispositions and lifetime risk of cardiovascular disease. However, tow...
Identification of cardiovascular high-risk groups from dynamic retinal vessel signals using untargeted machine learning.
Cardiovascular research
Jan 29, 2022
AIMS: Dynamic retinal vessel analysis (DVA) provides a non-invasive way to assess microvascular function in patients and potentially to improve predictions of individual cardiovascular (CV) risk. The aim of our study was to use untargeted machine lea...
Cardiovascular Diseases
Middle Aged
Risk Assessment
Female
Aged
Male
Predictive Value of Tests
Kidney Failure, Chronic
Cause of Death
Signal Processing, Computer-Assisted
Renal Dialysis
Treatment Outcome
Cluster Analysis
Humans
Machine Learning
Arterioles
Venules
Heart Disease Risk Factors
Workflow
Photic Stimulation
Light
Retinal Vessels
Vasodilation
Artificial intelligence in cardiovascular disease: Challenges and benefits in developing nations.
Progress in cardiovascular diseases
Jan 1, 2022
Artificial intelligence and machine learning: the resurgence of the industrial revolution by robots.
Open heart
Jan 1, 2022
Clinical and inflammatory features based machine learning model for fatal risk prediction of hospitalized COVID-19 patients: results from a retrospective cohort study.
Annals of medicine
Dec 1, 2021
OBJECTIVES: To appraise effective predictors for COVID-19 mortality in a retrospective cohort study.
L-Lactate Dehydrogenase
Clinical Decision Rules
Diabetes Mellitus
C-Reactive Protein
Humans
Ferritins
Machine Learning
Cardiovascular Diseases
COVID-19
Aged
Middle Aged
Aged, 80 and over
Comorbidity
Retrospective Studies
Interleukin-10
Adult
Cohort Studies
Severity of Illness Index
Reproducibility of Results
Female
Male
Hypertension
Prognosis
China
SARS-CoV-2
Hospitalization
[Value of artificial intelligence in the diagnosis and treatment of cardiovascular diseases].
Zhonghua xin xue guan bing za zhi
Nov 24, 2021
Machine Learning Model for Predicting CVD Risk on NHANES Data.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Nov 1, 2021
Cardiovascular disease (CVD) is a major health problem throughout the world. It is the leading cause of morbidity and mortality and also causes considerable economic burden to society. The early symptoms related to previous observations and abnormal ...
Segment Origin Prediction: A Self-supervised Learning Method for Electrocardiogram Arrhythmia Classification.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Nov 1, 2021
The automatic arrhythmia classification system has made a significant contribution to reducing the mortality rate of cardiovascular diseases. Although the current deep-learning-based models have achieved ideal effects in arrhythmia classification, th...
Performance of a Convolutional Neural Network and Explainability Technique for 12-Lead Electrocardiogram Interpretation.
JAMA cardiology
Nov 1, 2021
IMPORTANCE: Millions of clinicians rely daily on automated preliminary electrocardiogram (ECG) interpretation. Critical comparisons of machine learning-based automated analysis against clinically accepted standards of care are lacking.
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 32091
- Neural Networks, Computer 30255
- Algorithms 27448
- Deep Learning 26951
- Artificial Intelligence 24880
- Robotics 13397
- Image Processing, Computer-Assisted 9750
- Retrospective Studies 9368
- Magnetic Resonance Imaging 6357
- Reproducibility of Results 5674
- Tomography, X-Ray Computed 4872
- Support Vector Machine 4776
- Computational Biology 4347
- Brain 4135
- Computer Simulation 3937
Recent Journals
- Scientific reports 6908
- Sensors (Basel, Switzerland) 4794
- PloS one 4228
- Neural networks : the official journal of the International Neural Network Society 3026
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1920
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1378
- IEEE journal of biomedical and health informatics 1181
- Journal of chemical information and modeling 1072
- Nature communications 1055
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 879
- Journal of medical Internet research 871
- IEEE transactions on neural networks and learning systems 857