AIMC Topic: Hypertension
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A functional supervised learning approach to the study of blood pressure data.
Statistics in medicine
Dec 20, 2017
In this work, a functional supervised learning scheme is proposed for the classification of subjects into normotensive and hypertensive groups, using solely the 24-hour blood pressure data, relying on the concepts of Fréchet mean and Fréchet variance...
Aging and decreased glomerular filtration rate: An elderly population-based study.
PloS one
Dec 19, 2017
BACKGROUND: Although a reduced glomerular filtration rate (GFR) in old people has been attributed to physiologic aging, it may be associated with kidney disease or superimposed comorbidities. This study aims to assess the prevalence of decreased GFR ...
Mechanisms of pulse pressure amplification dipping pattern during sleep time: the SAFAR study.
Journal of the American Society of Hypertension : JASH
Dec 14, 2017
The difference in pulse pressure (PP) between peripheral arteries and the aorta, called pulse pressure amplification (PPamp), is a well-described physiological phenomenon independently associated with cardiovascular events. Recent studies suggest tha...
Effects of aqueous leaf extract of Tridax procumbens on contractile activity of corpus cavernosum in N-nitro-l-arginine methyl ester-induced hypertensive male rats.
Journal of integrative medicine
Nov 26, 2017
OBJECTIVE: This study investigated the effects of aqueous leaf extract of Tridax procumbens (ALETP) on contractile activity of corpus cavernosum in N-nitro-l-arginine methyl ester (l-NAME)-induced hypertensive male rats.
Estimation of Pulse Transit Time From Radial Pressure Waveform Alone by Artificial Neural Network.
IEEE journal of biomedical and health informatics
Sep 1, 2017
OBJECTIVE: To validate the feasibility of the estimation of pulse transit time (PTT) by artificial neural network (ANN) from radial pressure waveform alone.
NIRCa: An artificial neural network-based insulin resistance calculator.
Pediatric diabetes
Jun 19, 2017
BACKGROUND: Direct measurement of insulin sensitivity in children with type 1 diabetes is cumbersome and time consuming.
Neural Networks, Computer
Machine Learning
Female
Reproducibility of Results
Young Adult
Humans
Hypertension
Glucose Clamp Technique
Child
Predictive Value of Tests
Prehypertension
Insulin Resistance
Diabetic Angiopathies
Puberty
Random Allocation
Computational Biology
Multivariate Analysis
Diabetes Mellitus, Type 1
Adult
Cross-Sectional Studies
Male
Adolescent
An Ensemble Multilabel Classification for Disease Risk Prediction.
Journal of healthcare engineering
Jun 15, 2017
It is important to identify and prevent disease risk as early as possible through regular physical examinations. We formulate the disease risk prediction into a multilabel classification problem. A novel Ensemble Label Power-set Pruned datasets Joint...
Prediction of marker genes associated with hypertension by bioinformatics analyses.
International journal of molecular medicine
May 25, 2017
This study aimed to explore the underlying marker genes associated with hypertension by bioinformatics analyses. A gene expression profile (GSE54015) was downloaded. The differentially expressed genes (DEGs) between the normotensive female (NF) and h...
Cardiovascular events in patients with mild autonomous cortisol secretion: analysis with artificial neural networks.
European journal of endocrinology
May 3, 2017
BACKGROUND: The independent role of mild autonomous cortisol secretion (ACS) in influencing the cardiovascular event (CVE) occurrence is a topic of interest. We investigated the role of mild ACS in the CVE occurrence in patients with adrenal incident...
Phenomapping for the Identification of Hypertensive Patients with the Myocardial Substrate for Heart Failure with Preserved Ejection Fraction.
Journal of cardiovascular translational research
Mar 3, 2017
We sought to evaluate whether unbiased machine learning of dense phenotypic data ("phenomapping") could identify distinct hypertension subgroups that are associated with the myocardial substrate (i.e., abnormal cardiac mechanics) for heart failure wi...
Heart Failure
Pattern Recognition, Automated
Stress, Mechanical
Echocardiography, Doppler
Biomechanical Phenomena
Female
Male
Risk Factors
Stroke Volume
Aged
Humans
Middle Aged
Adult
Machine Learning
Risk Assessment
Cross-Sectional Studies
United States
Phenotype
Hypertension
Prognosis
Cluster Analysis
Predictive Value of Tests
Blood Pressure
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