AIMC Topic: Humans
Showing 66361 to 66370 of 95995 articles
Learning a discriminant graph-based embedding with feature selection for image categorization.
Neural networks : the official journal of the International Neural Network Society
Dec 27, 2018
Graph-based embedding methods are very useful for reducing the dimension of high-dimensional data and for extracting their relevant features. In this paper, we introduce a novel nonlinear method called Flexible Discriminant graph-based Embedding with...
The analysis of the effects of acute rheumatic fever in childhood on cardiac disease with data mining.
International journal of medical informatics
Dec 27, 2018
BACKGROUND: Acute rheumatic fever (ARF) is an important disease that is frequently seen in Turkey, it is necessary to develop solutions to cure the disease. It is believed that new data analysis methods may be applied to this disease, and this may be...
BP neural network prediction model for suicide attempt among Chinese rural residents.
Journal of affective disorders
Dec 27, 2018
OBJECTIVE: This study aimed to establish and assess the Back Propagation Neural Network (BPNN) prediction model for suicide attempt, so as to improve the individual prediction accuracy.
Asian People
Adaptation, Psychological
Depressive Disorder
Impulsive Behavior
Logistic Models
Rural Population
Self Concept
Middle Aged
Suicide, Attempted
Case-Control Studies
China
Social Support
Surveys and Questionnaires
Adolescent
Child
Young Adult
Adult
Sensitivity and Specificity
Male
Neural Networks, Computer
Female
Risk Factors
Humans
Gene ontology improves template selection in comparative protein docking.
Proteins
Dec 27, 2018
Structural characterization of protein-protein interactions is essential for our ability to study life processes at the molecular level. Computational modeling of protein complexes (protein docking) is important as the source of their structure and a...
Geometrical features for premature ventricular contraction recognition with analytic hierarchy process based machine learning algorithms selection.
Computer methods and programs in biomedicine
Dec 27, 2018
BACKGROUND AND OBJECTIVE: Premature ventricular contraction is associated to the risk of coronary heart disease, and its diagnosis depends on a long time heart monitoring. For this purpose, monitoring through Holter devices is often used and computat...
Diagnostic performance of an artificial neural network to predict excess body fat in children.
Pediatric obesity
Dec 27, 2018
BACKGROUND: Waist circumference (WC) and z scores of body mass index (BMI) are commonly used to predict childhood obesity, although BMI and WC have a limited sensitivity.
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Semiautomatic Three-Dimensional Threshold-Based Cardiac Computed Tomography Ventricular Volumetry in Repaired Tetralogy of Fallot: Comparison with Cardiac Magnetic Resonance Imaging.
Korean journal of radiology
Dec 27, 2018
OBJECTIVE: To assess the accuracy and potential bias of computed tomography (CT) ventricular volumetry using semiautomatic three-dimensional (3D) threshold-based segmentation in repaired tetralogy of Fallot, and to compare them to those of two-dimens...
Current Status of Magnetic Resonance Imaging in Patients with Malignant Uterine Neoplasms: A Review.
Korean journal of radiology
Dec 27, 2018
In this study, we summarize the clinical role of magnetic resonance imaging (MRI) in the diagnosis of patients with malignant uterine neoplasms, including leiomyosarcoma, endometrial stromal sarcoma, adenosarcoma, uterine carcinosarcoma, and endometr...
Discerning novel splice junctions derived from RNA-seq alignment: a deep learning approach.
BMC genomics
Dec 27, 2018
BACKGROUND: Exon splicing is a regulated cellular process in the transcription of protein-coding genes. Technological advancements and cost reductions in RNA sequencing have made quantitative and qualitative assessments of the transcriptome both poss...
Disease vocabulary size as a surrogate marker for physicians' disease knowledge volume.
PloS one
Dec 27, 2018
OBJECTIVE: Recognizing what physicians know and do not know about a particular disease is one of the keys to designing clinical decision support systems, since these systems can fulfill complementary role by recognizing this boundary. To our knowledg...
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