AIMC Topic: Age Factors
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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...
The mutational oncoprint of recurrent cytogenetic abnormalities in adult patients with de novo acute myeloid leukemia.
Leukemia
Mar 24, 2017
Recurrent chromosomal abnormalities and gene mutations detected at the time of diagnosis of acute myeloid leukemia (AML) are associated with particular disease features, treatment response and survival of AML patients, and are used to denote specific...
Aging, frailty and complex networks.
Biogerontology
Mar 2, 2017
When people age their mortality rate increases exponentially, following Gompertz's law. Even so, individuals do not die from old age. Instead, they accumulate age-related illnesses and conditions and so become increasingly vulnerable to death from va...
Models, Biological
Stochastic Processes
Information Theory
Aged, 80 and over
Young Adult
Humans
Infant
Adult
Severity of Illness Index
Child
Aging
Neural Networks, Computer
Adolescent
Health Status
Middle Aged
Computer Simulation
Time Factors
Age Factors
Aged
Frailty
Child, Preschool
Frail Elderly
Cause of Death
The ontogeny of kin-recognition mechanisms in Belding's ground squirrels.
Physiology & behavior
Feb 27, 2017
Despite extensive research on the functions and mechanisms of kin recognition, little is known about developmental changes in the abilities mediating such recognition. Belding's ground squirrels, Urocitellus beldingi, use at least two mechanisms of k...
Diagnosis of Chronic Kidney Disease Based on Support Vector Machine by Feature Selection Methods.
Journal of medical systems
Feb 27, 2017
As Chronic Kidney Disease progresses slowly, early detection and effective treatment are the only cure to reduce the mortality rate. Machine learning techniques are gaining significance in medical diagnosis because of their classification ability wit...
Glycosaminoglycan levels in dried blood spots of patients with mucopolysaccharidoses and mucolipidoses.
Molecular genetics and metabolism
Dec 22, 2016
UNLABELLED: Mucopolysaccharidoses (MPSs) and mucolipidoses (ML) are groups of lysosomal storage disorders in which lysosomal hydrolases are deficient leading to accumulation of undegraded glycosaminoglycans (GAGs), throughout the body, subsequently r...
Humans
Male
Mucolipidoses
Infant
Dried Blood Spot Testing
Female
Adolescent
Dermatan Sulfate
Infant, Newborn
Child, Preschool
Keratan Sulfate
Young Adult
Child
Mucopolysaccharidoses
Adult
Age Factors
Sensitivity and Specificity
Chromatography, Liquid
Tandem Mass Spectrometry
Heparitin Sulfate
Glycosaminoglycans
What kind of Relationship is Between Body Mass Index and Body Fat Percentage?
Journal of medical systems
Nov 8, 2016
Although body mass index (BMI) and body fat percentage (B F %) are well known as indicators of nutritional status, there are insuficient data whether the relationship between them is linear or not. There are appropriate linear and quadratic formulas ...
Incidence of severe renal dysfunction among individuals taking warfarin and implications for non-vitamin K oral anticoagulants.
American heart journal
Nov 4, 2016
BACKGROUND: The purpose of this study is to assess incidence and risk factors for severe renal dysfunction in patients requiring oral anticoagulation to help guide initial drug choice and provide a rational basis for interval monitoring of renal func...
ANN Prediction of Metabolic Syndrome: a Complex Puzzle that will be Completed.
Journal of medical systems
Oct 11, 2016
The diagnosis of metabolic syndrome (MetS) has a leading role in the early prevention of chronic disease, such as cardiovascular disease, type 2 diabetes, cancers and chronic kidney disease. It would be very greatful that MetS diagnosis can be predic...
Improving Feature Representation Based on a Neural Network for Author Profiling in Social Media Texts.
Computational intelligence and neuroscience
Oct 3, 2016
We introduce a lexical resource for preprocessing social media data. We show that a neural network-based feature representation is enhanced by using this resource. We conducted experiments on the PAN 2015 and PAN 2016 author profiling corpora and obt...
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