Cardiovascular

Dyslipidemia

Latest AI and machine learning research in dyslipidemia for healthcare professionals.

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Showing 883-903 of 4,006 articles
Adapting existing natural language processing resources for cardiovascular risk factors identification in clinical notes.

The 2014 i2b2 natural language processing shared task focused on identifying cardiovascular risk fac...

Aug 2015 26318122
Coronary artery disease risk assessment from unstructured electronic health records using text mining.

Coronary artery disease (CAD) often leads to myocardial infarction, which may be fatal. Risk factors...

Aug 2015 26319542
A systematic comparison of feature space effects on disease classifier performance for phenotype identification of five diseases.

Automated phenotype identification plays a critical role in cohort selection and bioinformatics data...

Aug 2015 26241355
Identifying risk factors for heart disease over time: Overview of 2014 i2b2/UTHealth shared task Track 2.

The second track of the 2014 i2b2/UTHealth natural language processing shared task focused on identi...

Jul 2015 26210362
Apolipoprotein A-I: A Molecule of Diverse Function.

Apolipoprotein A-I (apo A-I) an indispensable component and a major structural protein of high-densi...

Jul 2015 27382195
Using local lexicalized rules to identify heart disease risk factors in clinical notes.

Heart disease is the leading cause of death globally and a significant part of the human population ...

Jun 2015 26133479
Metabolic parameters in type 2 diabetic patients with varying degrees of glycemic control during Ramadan: An observational study.

AIMS/INTRODUCTION: The changes in metabolic parameters in type 2 diabetic patients who fast during R...

Jun 2015 26816603
Identification of Type 2 Diabetes Risk Factors Using Phenotypes Consisting of Anthropometry and Triglycerides based on Machine Learning.

The hypertriglyceridemic waist (HW) phenotype is strongly associated with type 2 diabetes; however, ...

Feb 2015 25675467
Refining in silico simulation to study digestion parameters affecting the bioaccessibility of lipophilic nutrients and micronutrients.

Despite the considerable number of in vivo and in vitro studies on the digestive fate of lipophilic ...

Oct 2014 25340470
Variability of automated carotid intima-media thickness measurements by novice operators.

Carotid intima-media thickness (C-IMT) measurements provide a non-invasive assessment of subclinical...

Sep 2014 25216303
Identification of the Best Anthropometric Predictors of Serum High- and Low-Density Lipoproteins Using Machine Learning.

Serum high-density lipoprotein (HDL) and low-density lipoprotein (LDL) cholesterol levels are associ...

Aug 2014 25148675
Deep Longitudinal Clusters of Type 2 Diabetes Pathophysiology and their Risk of Cardiovascular Disease Events and All-Cause Mortality

Objective: Despite the complex and non-linear progression of diabetes, its shared pathways with athe...

Association of a polygenic risk score with coronary atherosclerotic burden in clinical CT angiograms

Background: Polygenic risk scores (PRS) for coronary artery disease (CAD) are associated with cardio...

Elevated serum apolipoprotein B and lipoprotein remodelling distinguish adults with HLH from HLH mimics and controls

Haemophagocytic lymphohistiocytosis (HLH) is a rare, life-threatening hyperinflammatory syndrome cha...

A CUBS-Compatible Ultrasound Morphology and Uncertainty-Aware Baseline for Carotid Intima-Media Segmentation and Preliminary Risk Prediction

Carotid atherosclerosis is a major contributor to ischemic stroke and transient ischemic attack. Con...

Machine learning cross-platform proteomic imputation enables protein quality scoring and replication of epidemiological associations

High-throughput affinity-based proteomics has advanced biomedical research, yet fundamental, persist...

Cholesteryl Ester as a Prognostic Biomarker In IDH-wildtype Glioblastoma

Current treatment of IDH-wildtype glioblastoma (GBM) relies on the first-line chemotherapy-temozolom...

Automatic deep learning-based segmentation and quantification of stented arterial cross-sections for morphometric analysis

Arterial vascular diseases, such as atherosclerosis, are among the most serious global health threat...

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