AIMC Topic: Acute Coronary Syndrome

Clear Filters Showing 41 to 50 of 72 articles

Machine-learned models using hematological inflammation markers in the prediction of short-term acute coronary syndrome outcomes.

Journal of translational medicine Dec 3, 2018
BACKGROUND: Increased systemic and local inflammation play a vital role in the pathophysiology of acute coronary syndrome. This study aimed to assess the usefulness of selected machine learning methods and hematological markers of inflammation in pre...
Humans Machine Learning Biomarkers Reproducibility of Results Aged Logistic Models Models, Theoretical Time Factors Inflammation Treatment Outcome Hospital Mortality Acute Coronary Syndrome ROC Curve
View on PubMed DOI

Adversarial MACE Prediction After Acute Coronary Syndrome Using Electronic Health Records.

IEEE journal of biomedical and health informatics Nov 20, 2018
Acute coronary syndrome (ACS), as an emergent and severe syndrome due to decreased blood flow in the coronary arteries, is a leading cause of death and serious long-term disability globally. ACS is usually caused by one of three problems: ST elevatio...
Medical Informatics Deep Learning Models, Statistical Heart Failure Acute Coronary Syndrome Aged Middle Aged Diagnosis, Computer-Assisted Humans Electronic Health Records
View on PubMed DOI

Simulation of patient flow in multiple healthcare units using process and data mining techniques for model identification.

Journal of biomedical informatics May 16, 2018
INTRODUCTION: An approach to building a hybrid simulation of patient flow is introduced with a combination of data-driven methods for automation of model identification. The approach is described with a conceptual framework and basic methods for comb...
Medical Informatics Russia Critical Pathways Cloud Computing Cluster Analysis Workflow Data Mining Acute Coronary Syndrome Humans Machine Learning Computer Simulation Electronic Health Records
View on PubMed DOI

The effect of fasting status on lipids, lipoproteins, and inflammatory biomarkers assessed after hospitalization for an acute coronary syndrome: Insights from PROVE IT-TIMI 22.

Clinical cardiology Dec 28, 2017
BACKGROUND: For decades, fasting for 8 to 12 hours has been recommended for measurement of lipid profiles. The effect of fasting on low-density lipoprotein cholesterol (LDL-C) and triglycerides (TG) has been described in healthy cohorts and those wit...
Fasting Pravastatin Colorimetry Immunoturbidimetry Inflammation Follow-Up Studies Lipoproteins Acute Coronary Syndrome Atorvastatin Dose-Response Relationship, Drug Lipids Humans Biomarkers Prognosis Female Retrospective Studies Hospitalization Male Middle Aged
View on PubMed DOI

Indoleamine 2,3-Dioxygenase (IDO) Enzyme Links Innate Immunity and Altered T-Cell Differentiation in Non-ST Segment Elevation Acute Coronary Syndrome.

International journal of molecular sciences Dec 26, 2017
Atherosclerosis is a chronic inflammatory disease characterized by a complex interplay between innate and adaptive immunity. Dendritic cells (DCs) play a key role in T-cell activation and regulation by promoting a tolerogenic environment through the ...
T-Lymphocyte Subsets Indoleamine-Pyrrole 2,3,-Dioxygenase Female Aged Aged, 80 and over Adult Humans Cells, Cultured Male Middle Aged Non-ST Elevated Myocardial Infarction Monocytes Dendritic Cells Cell Differentiation Immunity, Innate Lymphocyte Activation Acute Coronary Syndrome
View on PubMed DOI

Machine Learning Improves Risk Stratification After Acute Coronary Syndrome.

Scientific reports Oct 4, 2017
The accurate assessment of a patient's risk of adverse events remains a mainstay of clinical care. Commonly used risk metrics have been based on logistic regression models that incorporate aspects of the medical history, presenting signs and symptoms...
Neural Networks, Computer Machine Learning Female Aged Male Humans Electrocardiography Acute Coronary Syndrome Multivariate Analysis Kaplan-Meier Estimate Models, Cardiovascular Middle Aged Risk Assessment Cohort Studies Logistic Models
View on PubMed DOI

Coronary Computed Tomographic Angiography-Derived Fractional Flow Reserve Based on Machine Learning for Risk Stratification of Non-Culprit Coronary Narrowings in Patients with Acute Coronary Syndrome.

The American journal of cardiology Jul 25, 2017
This study investigated the prognostic value of coronary computed tomography angiography (cCTA)-derived fractional flow reserve (CT-FFR) in patients with acute coronary syndrome (ACS) and multivessel disease to gauge significance and guide management...
Humans Machine Learning Female Fractional Flow Reserve, Myocardial Survival Rate Male Coronary Angiography Prognosis Acute Coronary Syndrome Retrospective Studies Computed Tomography Angiography Coronary Stenosis Middle Aged Risk Assessment ROC Curve United States
View on PubMed DOI

A Regularized Deep Learning Approach for Clinical Risk Prediction of Acute Coronary Syndrome Using Electronic Health Records.

IEEE transactions on bio-medical engineering Jul 24, 2017
OBJECTIVE: Acute coronary syndrome (ACS), as a common and severe cardiovascular disease, is a leading cause of death and the principal cause of serious long-term disability globally. Clinical risk prediction of ACS is important for early intervention...
Computational Biology Data Mining Acute Coronary Syndrome Humans Electronic Health Records Female Male Risk Assessment Reproducibility of Results Deep Learning Risk Factors
View on PubMed DOI

[Intelligent systems tools in the diagnosis of acute coronary syndromes: A systemic review].

Archivos de cardiologia de Mexico Mar 27, 2017
BACKGROUND: Acute myocardial infarction is the leading cause of non-communicable deaths worldwide. Its diagnosis is a highly complex task, for which modelling through automated methods has been attempted. A systematic review of the literature was per...
Support Vector Machine Decision Trees Myocardial Infarction Acute Coronary Syndrome Artificial Intelligence Algorithms Models, Theoretical Electrocardiography Humans Neural Networks, Computer
View on PubMed DOI

Prediction of high on-treatment platelet reactivity in clopidogrel-treated patients with acute coronary syndromes.

International journal of cardiology Mar 18, 2017
BACKGROUND: About 40% of clopidogrel-treated patients display high platelet reactivity (HPR). Alternative treatments of HPR patients, identified by platelet function tests, failed to improve their clinical outcomes in large randomized clinical trials...
Machine Learning Prospective Studies Female Humans Neural Networks, Computer Platelet Activation Ticlopidine Treatment Outcome Predictive Value of Tests Acute Coronary Syndrome Platelet Aggregation Inhibitors Clopidogrel Aged Male Middle Aged Gene Regulatory Networks
View on PubMed DOI
Popular Topics
Recent Journals