AIMC Topic: Reproducibility of Results

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Epileptic Seizures Prediction Using Machine Learning Methods.

Computational and mathematical methods in medicine Dec 19, 2017
Epileptic seizures occur due to disorder in brain functionality which can affect patient's health. Prediction of epileptic seizures before the beginning of the onset is quite useful for preventing the seizure by medication. Machine learning technique...
Algorithms Seizures Brain Signal Processing, Computer-Assisted Reproducibility of Results Sensitivity and Specificity Diagnosis, Computer-Assisted Support Vector Machine Humans Models, Statistical Electroencephalography Epilepsy
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Automatic hemolysis identification on aligned dual-lighting images of cultured blood agar plates.

Computer methods and programs in biomedicine Dec 18, 2017
BACKGROUND AND OBJECTIVE: The recent introduction of Full Laboratory Automation systems in clinical microbiology opens to the availability of streams of high definition images representing bacteria culturing plates. This creates new opportunities to ...
Signal Processing, Computer-Assisted Urinary Tract Infections Lighting Programming Languages Hemolysis Humans Algorithms Electronic Data Processing Software Reproducibility of Results Agar Bacteria Models, Statistical
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Verification and large scale clinical evaluation of a national standard protocol for Salmonella spp./Shigella spp. screening using real-time PCR combined with guided culture.

Journal of microbiological methods Dec 17, 2017
Salmonella spp./Shigella spp. are often associated with food poisoning and fecal-oral transmission of acute gastroenteritis that requires strict monitoring, especially among people who would handle food and water. In 2014, the National Health and Fam...
Humans Reproducibility of Results Sensitivity and Specificity Shigella Feces China Salmonella Mass Screening Time Factors Limit of Detection Real-Time Polymerase Chain Reaction Gastroenteritis
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Symtosis: A liver ultrasound tissue characterization and risk stratification in optimized deep learning paradigm.

Computer methods and programs in biomedicine Dec 16, 2017
Background and Objective Fatty Liver Disease (FLD) - a disease caused by deposition of fat in liver cells, is predecessor to terminal diseases such as liver cancer. The machine learning (ML) techniques applied for FLD detection and risk stratificatio...
Machine Learning Reproducibility of Results Risk Factors Diagnosis, Computer-Assisted Fatty Liver Computational Biology Support Vector Machine Ultrasonography ROC Curve Humans Neural Networks, Computer Benchmarking Image Interpretation, Computer-Assisted
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Bionalytical validation study for the determination of unbound ambrisentan in human plasma using rapid equilibrium dialysis followed by ultra performance liquid chromatography coupled to mass spectrometry.

Journal of pharmaceutical and biomedical analysis Dec 16, 2017
Ambrisentan is a highly selective endothelin-1 type A receptor antagonist indicated for use in the treatment of pulmonary hypertension. In this study an assay was developed and validated for the quantification of total and unbound (free) concentratio...
Pyridazines Antihypertensive Agents Limit of Detection Tandem Mass Spectrometry Spectrometry, Mass, Electrospray Ionization Reference Standards Dialysis Phenylpropionates Linear Models Calibration Humans Reproducibility of Results Protein Binding Chromatography, Liquid
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Development and validation of a bioanalytical method for quantification of LNA-i-miR-221, a 13-mer oligonucleotide, in rat plasma using LC-MS/MS.

Journal of pharmaceutical and biomedical analysis Dec 15, 2017
LNA-i-miR-221, a 13-mer oligonucleotide, is a new miR-221 inhibitor that could be used as a novel drug for multiple myeloma. Herein, an ion-pair reversed phase liquid chromatography-tandem mass spectrometry (LC-MS/MS) method has been developed and va...
MicroRNAs Tandem Mass Spectrometry Solid Phase Extraction Liquid-Liquid Extraction Reproducibility of Results Animals Rats Administration, Intravenous Reference Standards Spectrometry, Mass, Electrospray Ionization Linear Models Chromatography, Reverse-Phase Calibration
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The identification of high potential archers based on fitness and motor ability variables: A Support Vector Machine approach.

Human movement science Dec 14, 2017
Support Vector Machine (SVM) has been shown to be an effective learning algorithm for classification and prediction. However, the application of SVM for prediction and classification in specific sport has rarely been used to quantify/discriminate low...
Models, Statistical Predictive Value of Tests Athletic Performance Athletes Adolescent Support Vector Machine Cluster Analysis Hand Strength Linear Models Sports Humans Sensitivity and Specificity Reproducibility of Results Algorithms Male Young Adult Female Exercise
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Machine-Learning Classifier for Patients with Major Depressive Disorder: Multifeature Approach Based on a High-Order Minimum Spanning Tree Functional Brain Network.

Computational and mathematical methods in medicine Dec 14, 2017
High-order functional connectivity networks are rich in time information that can reflect dynamic changes in functional connectivity between brain regions. Accordingly, such networks are widely used to classify brain diseases. However, traditional me...
False Positive Reactions Neural Pathways Nerve Net Neurology Young Adult Adult Male Middle Aged Support Vector Machine Magnetic Resonance Imaging Brain Mapping Depressive Disorder, Major Adolescent Algorithms Brain Female Humans Reproducibility of Results Machine Learning
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Vector representations of multi-word terms for semantic relatedness.

Journal of biomedical informatics Dec 13, 2017
This paper presents a comparison between several multi-word term aggregation methods of distributional context vectors applied to the task of semantic similarity and relatedness in the biomedical domain. We compare the multi-word term aggregation met...
Reproducibility of Results Biomedical Research Natural Language Processing Semantics Unified Medical Language System Humans Machine Learning
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Machine learning techniques for breast cancer computer aided diagnosis using different image modalities: A systematic review.

Computer methods and programs in biomedicine Dec 12, 2017
BACKGROUND AND OBJECTIVE: The high incidence of breast cancer in women has increased significantly in the recent years. Physician experience of diagnosing and detecting breast cancer can be assisted by using some computerized features extraction and ...
Female Diagnosis, Computer-Assisted Humans Positron-Emission Tomography Reproducibility of Results Image Processing, Computer-Assisted Electronic Data Processing Sensitivity and Specificity Machine Learning Mammography Breast Neoplasms Databases, Factual Area Under Curve Computer Simulation
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