AIMC Topic: Reproducibility of Results

Clear Filters Showing 4861 to 4870 of 5908 articles

Optimizing parameters on alignment of PCL/PGA nanofibrous scaffold: An artificial neural networks approach.

International journal of biological macromolecules Oct 27, 2014
This paper proposes an artificial neural networks approach to finding the effects of electrospinning parameters on alignment of poly(ɛ-caprolactone)/poly(glycolic acid) blend nanofibers. Four electrospinning parameters, namely total polymer concentra...
Humans Tissue Scaffolds Nanofibers Cell Adhesion Electricity Cell Shape Neural Networks, Computer Reproducibility of Results Fibroblasts Polyesters Polyglycolic Acid
View on PubMed DOI

Protein submitochondrial localization from integrated sequence representation and SVM-based backward feature extraction.

Molecular bioSystems Oct 21, 2014
Mitochondrion, a tiny energy factory, plays an important role in various biological processes of most eukaryotic cells. Mitochondrial defection is associated with a series of human diseases. Knowledge of the submitochondrial locations of proteins can...
Mitochondria Datasets as Topic Protein Transport ROC Curve Support Vector Machine Proteins Models, Biological Humans Algorithms Reproducibility of Results Colorectal Neoplasms
View on PubMed DOI

Measuring quality of life with fuzzy numbers: in the perspectives of reliability, validity, measurement invariance, and feasibility.

Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation Oct 14, 2014
PURPOSE: Fuzzy set theory (FST) can improve various aspects of measurement with questionnaires. However, very little is known about how to use FST to measure quality of life (QOL). The main purpose of our study was to find an appropriate fuzzy measur...
Fuzzy Logic Data Interpretation, Statistical Male Quality of Life Surveys and Questionnaires Psychometrics Humans Female Reproducibility of Results
View on PubMed DOI

Hypoglycemia prediction using machine learning models for patients with type 2 diabetes.

Journal of diabetes science and technology Oct 14, 2014
Minimizing the occurrence of hypoglycemia in patients with type 2 diabetes is a challenging task since these patients typically check only 1 to 2 self-monitored blood glucose (SMBG) readings per day. We trained a probabilistic model using machine lea...
Hypoglycemia Humans Machine Learning Blood Glucose Self-Monitoring Algorithms Retrospective Studies Computer Simulation Reproducibility of Results Prognosis Sensitivity and Specificity Diabetes Mellitus, Type 2
View on PubMed DOI

Predictive Models Based on Support Vector Machines: Whole-Brain versus Regional Analysis of Structural MRI in the Alzheimer's Disease.

Journal of neuroimaging : official journal of the American Society of Neuroimaging Oct 7, 2014
Decision-making systems trained on structural magnetic resonance imaging data of subjects affected by the Alzheimer's disease (AD) and healthy controls (CTRL) are becoming widespread prognostic tools for subjects with mild cognitive impairment (MCI)....
Computer Simulation Female Reproducibility of Results Humans Brain Nerve Net Models, Neurological Models, Statistical Alzheimer Disease Connectome Aged Sensitivity and Specificity Male Support Vector Machine
View on PubMed DOI

Artificial neural network modelling of biological oxygen demand in rivers at the national level with input selection based on Monte Carlo simulations.

Environmental science and pollution research international Oct 5, 2014
Biological oxygen demand (BOD) is the most significant water quality parameter and indicates water pollution with respect to the present biodegradable organic matter content. European countries are therefore obliged to report annual BOD values to Eur...
Biological Oxygen Demand Analysis Neural Networks, Computer Reproducibility of Results Water Quality Rivers Linear Models Conservation of Natural Resources Monte Carlo Method Models, Theoretical Decision Making Europe Water Pollution
View on PubMed DOI

Towards semantic-driven high-content image analysis: an operational instantiation for mitosis detection in digital histopathology.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Oct 2, 2014
This study concerns a novel symbolic cognitive vision framework emerged from the Cognitive Microscopy (MICO(1)) initiative. MICO aims at supporting the evolution towards digital pathology, by studying cognitive clinical-compliant protocols involving ...
Microscopy Image Interpretation, Computer-Assisted Semantics Pattern Recognition, Automated Breast Neoplasms User-Computer Interface Neoplasm Grading Signal Processing, Computer-Assisted Humans Machine Learning Female Reproducibility of Results Sensitivity and Specificity Software Algorithms Cell Nucleus Image Enhancement Mitosis Histological Techniques
View on PubMed DOI

3T MR-guided in-bore transperineal prostate biopsy: A comparison of robotic and manual needle-guidance templates.

Journal of magnetic resonance imaging : JMRI Sep 27, 2014
PURPOSE: To demonstrate the utility of a robotic needle-guidance template device as compared to a manual template for in-bore 3T transperineal magnetic resonance imaging (MRI)-guided prostate biopsy.
Fiducial Markers Magnetic Resonance Imaging, Interventional Perineum Prostatic Neoplasms Equipment Design Image-Guided Biopsy Equipment Failure Analysis Humans Reproducibility of Results Aged Male Middle Aged Robotics Aged, 80 and over Sensitivity and Specificity
View on PubMed DOI

Using Relevance Feedback to Distinguish the Changes in EEG During Different Absence Seizure Phases.

Clinical EEG and neuroscience Sep 21, 2014
We carried out a series of statistical experiments to explore the utility of using relevance feedback on electroencephalogram (EEG) data to distinguish between different activity states in human absence epilepsy. EEG recordings from 10 patients with ...
Reproducibility of Results Young Adult Sensitivity and Specificity Child Feedback Male Diagnosis, Differential Disease Progression Humans Diagnosis, Computer-Assisted Electroencephalography Machine Learning Adolescent Pattern Recognition, Automated Algorithms Epilepsy, Absence Female
View on PubMed DOI

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

Clinical physiology and functional imaging Sep 12, 2014
Carotid intima-media thickness (C-IMT) measurements provide a non-invasive assessment of subclinical atherosclerosis. The aim of the study was to assess the inter- and intra-observer variability of automated C-IMT measurements undertaken by two novic...
Male Clinical Competence Adolescent Reference Values United Kingdom Pattern Recognition, Automated Carotid Intima-Media Thickness Image Interpretation, Computer-Assisted Observer Variation Reproducibility of Results Young Adult Adult Sensitivity and Specificity Humans Machine Learning Female
View on PubMed DOI
Popular Topics
Recent Journals