Cardiovascular

Metabolic Syndrome

Latest AI and machine learning research in metabolic syndrome for healthcare professionals.

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Showing 1135-1155 of 8,474 articles
Association of Haemostatic and Inflammatory Biomarkers with Nephropathy in Type 1 Diabetes Mellitus.

This study aimed at investigating the association between haemostatic biomarkers, proinflammatory, a...

(1)
Dec 2015 26770985
Using Blood Indexes to Predict Overweight Statuses: An Extreme Learning Machine-Based Approach.

The number of the overweight people continues to rise across the world. Studies have shown that bein...

Nov 2015 26600199
Machine Learning for Treatment Assignment: Improving Individualized Risk Attribution.

Clinical studies model the average treatment effect (ATE), but apply this population-level effect to...

Nov 2015 26958271
Using a Clinical Knowledge Base to Assess Comorbidity Interrelatedness Among Patients with Multiple Chronic Conditions.

Decision support tools increasingly integrate clinical knowledge such as medication indications and ...

(1)
Nov 2015 26958279
Characterization of the abnormal lipid profile in Chinese patients with psoriasis.

Psoriasis is a chronic inflammatory skin disease that has been associated with abnormal lipid metabo...

Nov 2015 26823881
Circulating Aldosterone Levels and Disease Severity in Pulmonary Arterial Hypertension.

OBJECTIVES: It is not known whether aldosterone levels are associated with increased mortality in pa...

Oct 2015 27170847
Relationship between obstructive sleep apnea cardiac complications and sleepiness in children with Down syndrome.

OBJECTIVE/BACKGROUND: Children with Down syndrome (DS) have a high rate of pulmonary hypertension an...

Oct 2015 26847969
In vitro, ex vivo and in vivo anti-hypertensive activity of Chrysophyllum cainito L. extract.

Chrysophyllum cainito L., a traditional herbal medicine, could have the potential for management of ...

Oct 2015 26770385
Deficient serum 25-hydroxyvitamin D is associated with an atherogenic lipid profile: The Very Large Database of Lipids (VLDL-3) study.

BACKGROUND: Cross-sectional studies have found an association between deficiencies in serum vitamin ...

Sep 2015 26892123
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...

(1)
Aug 2015 26319542
A Soft Computing Approach to Kidney Diseases Evaluation.

Kidney renal failure means that one's kidney have unexpectedly stopped functioning, i.e., once chron...

(1)
Aug 2015 26310948
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
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