AIMC Topic: Myocardial Infarction
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Analytical Concordance of Diverse Point-of-Care and Central Laboratory Troponin I Assays.
The journal of applied laboratory medicine
Sep 17, 2018
BACKGROUND: Cardiac troponin I (cTnI) 99th percentile cutoffs, used in the diagnosis of acute myocardial infarction, are not standardized across cTnI assays. We compared 3 point-of-care (POC) and 1 central laboratory contemporary cTnI assays against ...
Bioimpedance and New-Onset Heart Failure: A Longitudinal Study of >500 000 Individuals From the General Population.
Journal of the American Heart Association
Jun 29, 2018
BACKGROUND: Heart failure constitutes a high burden on patients and society, but although lifetime risk is high, it is difficult to predict without costly or invasive testing. We aimed to establish new risk factors of heart failure, which potentially...
Combining Context and Knowledge Representations for Chemical-Disease Relation Extraction.
IEEE/ACM transactions on computational biology and bioinformatics
May 21, 2018
Automatically extracting the relationships between chemicals and diseases is significantly important to various areas of biomedical research and health care. Biomedical experts have built many large-scale knowledge bases (KBs) to advance the developm...
Maximization of the usage of coronary CTA derived plaque information using a machine learning based algorithm to improve risk stratification; insights from the CONFIRM registry.
Journal of cardiovascular computed tomography
Apr 30, 2018
INTRODUCTION: Machine learning (ML) is a field in computer science that demonstrated to effectively integrate clinical and imaging data for the creation of prognostic scores. The current study investigated whether a ML score, incorporating only the 1...
Coronary Artery Disease
Myocardial Infarction
Coronary Vessels
Multidetector Computed Tomography
Coronary Stenosis
Plaque, Atherosclerotic
Computed Tomography Angiography
Area Under Curve
Coronary Angiography
Radiographic Image Interpretation, Computer-Assisted
Registries
Severity of Illness Index
Time Factors
ROC Curve
Predictive Value of Tests
Algorithms
Prognosis
Female
Reproducibility of Results
Male
Middle Aged
Risk Assessment
Risk Factors
Aged
Humans
Machine Learning
Determining post-test risk in a national sample of stress nuclear myocardial perfusion imaging reports: Implications for natural language processing tools.
Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
Apr 25, 2018
BACKGROUND: Reporting standards promote clarity and consistency of stress myocardial perfusion imaging (MPI) reports, but do not require an assessment of post-test risk. Natural Language Processing (NLP) tools could potentially help estimate this ris...
MTGO: PPI Network Analysis Via Topological and Functional Module Identification.
Scientific reports
Apr 3, 2018
Protein-protein interaction (PPI) networks are viable tools to understand cell functions, disease machinery, and drug design/repositioning. Interpreting a PPI, however, it is a particularly challenging task because of network complexity. Several algo...
The association between reconstructed phase space and Artificial Neural Networks for vectorcardiographic recognition of myocardial infarction.
Journal of electrocardiology
Feb 8, 2018
Myocardial infarction is one of the leading causes of death worldwide. As it is life threatening, it requires an immediate and precise treatment. Due to this, a growing number of research and innovations in the field of biomedical signal processing i...
Serum Troponin I levels among hypertensive Military Service Personnel at a Military Health Facility in Abuja, Nigeria.
Nigerian journal of physiological sciences : official publication of the Physiological Society of Nigeria
Dec 30, 2017
Hypertension constitutes one of the major metabolic disease in Nigeria especially among military personnel and their families. Myocardial infarction and other cardiovascular diseases may occur in this group of patient due to uncontrolled or poorly co...
Abnormal elevation of myocardial necrosis biomarkers after coronary artery bypass grafting without established myocardial infarction assessed by cardiac magnetic resonance.
Journal of cardiothoracic surgery
Dec 29, 2017
BACKGROUND: The diagnosis of peri-procedural myocardial infarction is complex, especially after the emergence of high-sensitivity markers of myocardial necrosis.
Real-Time Multilead Convolutional Neural Network for Myocardial Infarction Detection.
IEEE journal of biomedical and health informatics
Nov 10, 2017
In this paper, a novel algorithm based on a convolutional neural network (CNN) is proposed for myocardial infarction detection via multilead electrocardiogram (ECG). A beat segmentation algorithm utilizing multilead ECG is designed to obtain multilea...
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