AIMC Topic: Reproducibility of Results

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Test-retest reliability of fMRI experiments during robot-assisted active and passive stepping.

Journal of neuroengineering and rehabilitation Nov 17, 2015
BACKGROUND: Brain activity has been shown to undergo cortical and sub-cortical functional reorganisation over the course of gait rehabilitation in patients suffering from a spinal cord injury or a stroke. These changes however, have not been complete...
Female Reproducibility of Results Aged Male Middle Aged Humans Magnetic Resonance Imaging Robotics Artifacts Motor Activity
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Genome-Wide Locations of Potential Epimutations Associated with Environmentally Induced Epigenetic Transgenerational Inheritance of Disease Using a Sequential Machine Learning Prediction Approach.

PloS one Nov 16, 2015
Environmentally induced epigenetic transgenerational inheritance of disease and phenotypic variation involves germline transmitted epimutations. The primary epimutations identified involve altered differential DNA methylation regions (DMRs). Differen...
Cluster Analysis Bayes Theorem Mutation Spermatozoa Environmental Exposure Granulosa Cells CpG Islands Chromosomes DDT Computational Biology Epigenesis, Genetic Databases, Genetic Sequence Analysis, DNA DNA Methylation Reproducibility of Results Male Methoxychlor Genome-Wide Association Study Sertoli Cells Genetic Predisposition to Disease Humans Machine Learning Phenotype Female
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The feature selection bias problem in relation to high-dimensional gene data.

Artificial intelligence in medicine Nov 14, 2015
OBJECTIVE: Feature selection is a technique widely used in data mining. The aim is to select the best subset of features relevant to the problem being considered. In this paper, we consider feature selection for the classification of gene datasets. G...
Data Mining Linear Models Pattern Recognition, Automated Computational Biology Oligonucleotide Array Sequence Analysis Humans Gene Expression Regulation, Neoplastic Support Vector Machine Algorithms Decision Support Techniques Databases, Genetic Reproducibility of Results Bias Biomarkers, Tumor Gene Expression Profiling
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Estimation of extravascular lung water using the transpulmonary ultrasound dilution (TPUD) method: a validation study in neonatal lambs.

Journal of clinical monitoring and computing Nov 12, 2015
Increased extravascular lung water (EVLW) may contribute to respiratory failure in neonates. Accurate measurement of EVLW in these patients is limited due to the lack of bedside methods. The aim of this pilot study was to investigate the reliability ...
Femoral Artery Thermogravimetry Lung Injury Catheterization Ultrasonography Algorithms Thermodilution Pulmonary Edema Reproducibility of Results Sheep Animals Cardiac Output Hemodynamics Extravascular Lung Water
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Prediction of Protein-Protein Interaction Sites with Machine-Learning-Based Data-Cleaning and Post-Filtering Procedures.

The Journal of membrane biology Nov 12, 2015
Accurately predicting protein-protein interaction sites (PPIs) is currently a hot topic because it has been demonstrated to be very useful for understanding disease mechanisms and designing drugs. Machine-learning-based computational approaches have ...
Machine Learning Reproducibility of Results Models, Molecular Workflow Protein Conformation Protein Binding Binding Sites Protein Interaction Mapping Computational Biology Proteins Databases, Protein
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Comparative Study of SSVEP- and P300-Based Models for the Telepresence Control of Humanoid Robots.

PloS one Nov 12, 2015
In this paper, we evaluate the control performance of SSVEP (steady-state visual evoked potential)- and P300-based models using Cerebot-a mind-controlled humanoid robot platform. Seven subjects with diverse experience participated in experiments conc...
Male Robotics Electroencephalography Signal Processing, Computer-Assisted Brain-Computer Interfaces Evoked Potentials, Visual Event-Related Potentials, P300 Humans Algorithms Brain Female Reproducibility of Results Young Adult Adult
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Microarray expression profiling and gene ontology analysis of long non-coding RNAs in spontaneously hypertensive rats and their potential roles in the pathogenesis of hypertension.

Molecular medicine reports Nov 11, 2015
Long non-coding RNAs (lncRNAs) have been demonstrated to be significant in numerous biological processes. Hypertension is a form of cardiovascular disease with at least one billion cases worldwide. The present study sought to compare the differential...
RNA, Long Noncoding Gene Expression Regulation Down-Regulation Gene Ontology Oligonucleotide Array Sequence Analysis Rats, Inbred SHR Rats, Inbred WKY Reproducibility of Results Animals Gene Expression Profiling Real-Time Polymerase Chain Reaction Hypertension
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Machine Learning Approaches for Predicting Radiation Therapy Outcomes: A Clinician's Perspective.

International journal of radiation oncology, biology, physics Nov 11, 2015
Radiation oncology has always been deeply rooted in modeling, from the early days of isoeffect curves to the contemporary Quantitative Analysis of Normal Tissue Effects in the Clinic (QUANTEC) initiative. In recent years, medical modeling for both pr...
Support Vector Machine Models, Statistical Radiation Oncology Radiotherapy Dosage Radiotherapy Reproducibility of Results Lung Neoplasms Logistic Models Treatment Outcome Esophagitis Radiation Pneumonitis Xerostomia Humans Neural Networks, Computer Artificial Intelligence Machine Learning Prognosis
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A Robotic Ultrasound Scanner for Automatic Vessel Tracking and Three-Dimensional Reconstruction of B-Mode Images.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Nov 9, 2015
Locating and evaluating the length and severity of a stenosis is very important for planning adequate treatment of peripheral arterial disease (PAD). Conventional ultrasound (US) examination cannot provide maps of entire lower limb arteries in 3-D. W...
Robotics Femoral Artery Phantoms, Imaging Adult Male Ultrasonography Humans Imaging, Three-Dimensional Reproducibility of Results
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Development of intelligent systems based on Bayesian regularization network and neuro-fuzzy models for mass detection in mammograms: A comparative analysis.

Computer methods and programs in biomedicine Nov 6, 2015
Female breast cancer is the second most common cancer in the world. Several efforts in artificial intelligence have been made to help improving the diagnostic accuracy at earlier stages. However, the identification of breast abnormalities, like masse...
Fuzzy Logic Models, Statistical Mammography Bayes Theorem Radiographic Image Interpretation, Computer-Assisted Pectoralis Muscles Breast Humans Female Pattern Recognition, Automated Artificial Intelligence Reproducibility of Results Nerve Net Algorithms Breast Neoplasms Normal Distribution Databases, Factual Diagnosis, Computer-Assisted
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