AIMC Topic: Cardiovascular Diseases

Clear Filters Showing 641 to 650 of 664 articles

Hemodynamic Instability and Cardiovascular Events After Traumatic Brain Injury Predict Outcome After Artifact Removal With Deep Belief Network Analysis.

Journal of neurosurgical anesthesiology Oct 1, 2018
BACKGROUND: Hemodynamic instability and cardiovascular events heavily affect the prognosis of traumatic brain injury. Physiological signals are monitored to detect these events. However, the signals are often riddled with faulty readings, which jeopa...
Cardiovascular Diseases Middle Aged Prevalence Hemodynamics Young Adult Humans Adult Machine Learning Male Female False Positive Reactions Aged Cerebrovascular Circulation Tachycardia Intracranial Hypotension Adolescent Brain Injuries, Traumatic Predictive Value of Tests Artifacts
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Classification of Cardiovascular Disease via A New SoftMax Model.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Cardiovascular disease clinical diagnosis is an essentially problem of pattern recognition. In the traditional intelligent diagnosis, the evaluation of classification algorithm is based on the final accuracy of the disease diagnosis. In this paper, a...
Cluster Analysis Regression Analysis Neural Networks, Computer Algorithms Cardiovascular Diseases Humans
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Teaching cardiovascular medicine to machines.

Cardiovascular research Jul 1, 2018
Humans Therapy, Computer-Assisted Models, Cardiovascular Patient-Specific Modeling Hemodynamics Machine Learning Diagnosis, Computer-Assisted Prognosis Diffusion of Innovation Cardiovascular Diseases Ventricular Remodeling
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Cardiorenal Outcomes in the CANVAS, DECLARE-TIMI 58, and EMPA-REG OUTCOME Trials: A Systematic Review.

Reviews in cardiovascular medicine Jun 30, 2018
In this systematic review, we sought to summarize the 3 recent sodium-glucose cotransporter 2 inhibitor (SGLT2i) trials (Dapagliflozin Effect on CardiovasculAR Events (DECLARE-TIMI 58), Canagliflozin Cardiovascular Assessment Study (CANVAS) Program, ...
Sodium-Glucose Transporter 2 Benzhydryl Compounds Canagliflozin Sodium-Glucose Transporter 2 Inhibitors Diabetes Mellitus, Type 2 Treatment Outcome Health Status Kidney Diseases Risk Factors Randomized Controlled Trials as Topic Humans Cardiovascular Diseases Cause of Death Research Design Comorbidity Glucosides Biomarkers Blood Glucose
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Artificial Intelligence in Cardiology.

Journal of the American College of Cardiology Jun 12, 2018
Artificial intelligence and machine learning are poised to influence nearly every aspect of the human condition, and cardiology is not an exception to this trend. This paper provides a guide for clinicians on relevant aspects of artificial intelligen...
Humans Artificial Intelligence Machine Learning Algorithms Cardiovascular Diseases Cardiology
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What's in Store for Cardiovascular Ultrasound in the Future.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography May 1, 2018
Echocardiography Virtual Reality Cardiology Societies, Medical Humans Machine Learning Cardiovascular Diseases
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Eyeing cardiovascular risk factors.

Nature biomedical engineering Mar 1, 2018
Humans Cardiovascular Diseases Algorithms Deep Learning Risk Factors Retina Image Interpretation, Computer-Assisted
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All eyes are on AI.

Nature biomedical engineering Mar 1, 2018
Humans Retinal Diseases Artificial Intelligence Cardiovascular Diseases Algorithms Retina Image Interpretation, Computer-Assisted
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Learning to think like Machines.

Indian heart journal Jan 1, 2018
Humans Machine Learning Prevalence India Diagnostic Techniques, Cardiovascular Algorithms Cardiovascular Diseases Risk Assessment
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The dose-response association between estimated glomerular filtration rate and prognosis of patients with ST-segment elevation myocardial infarction from rural areas of China's Liaoning province.

Medicine Dec 1, 2017
We aimed to investigate the dose-response associations between chronic kidney disease (CKD), and short and long-term cardiovascular outcomes, to characterize these associations by drawing dose-response curves based on a Chinese rural ST-segment eleva...
Comorbidity Severity of Illness Index China Hospital Mortality Logistic Models Membrane Proteins Rural Population Adult ST Elevation Myocardial Infarction Humans Male Renal Insufficiency, Chronic Female Hyperlipidemias Cardiovascular Diseases Biomarkers Glomerular Filtration Rate Middle Aged Aged Drosophila Proteins Prognosis Age Factors Aged, 80 and over Proportional Hazards Models
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