AIMC Topic: Reproducibility of Results

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A Regularized Deep Learning Approach for Clinical Risk Prediction of Acute Coronary Syndrome Using Electronic Health Records.

IEEE transactions on bio-medical engineering Jul 24, 2017
OBJECTIVE: Acute coronary syndrome (ACS), as a common and severe cardiovascular disease, is a leading cause of death and the principal cause of serious long-term disability globally. Clinical risk prediction of ACS is important for early intervention...
Data Mining Acute Coronary Syndrome Female Risk Assessment Reproducibility of Results Humans Deep Learning Risk Factors Electronic Health Records Male Computational Biology
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Gaussian process classification of superparamagnetic relaxometry data: Phantom study.

Artificial intelligence in medicine Jul 24, 2017
MOTIVATION: Superparamagnetic relaxometry (SPMR) is an emerging technology that holds potential for use in early cancer detection. Measurement of the magnetic field after the excitation of cancer-bound superparamagnetic iron oxide nanoparticles (SPIO...
Phantoms, Imaging Magnetite Nanoparticles Normal Distribution Contrast Media Signal-To-Noise Ratio Magnetic Resonance Imaging Machine Learning Magnetics Numerical Analysis, Computer-Assisted Early Detection of Cancer Neoplasms, Experimental Predictive Value of Tests Algorithms Computer Simulation Reproducibility of Results Animals Image Processing, Computer-Assisted Mice
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Clustering and Candidate Motif Detection in Exosomal miRNAs by Application of Machine Learning Algorithms.

Interdisciplinary sciences, computational life sciences Jul 22, 2017
BACKGROUND: The clustering pattern and motifs give immense information about any biological data. An application of machine learning algorithms for clustering and candidate motif detection in miRNAs derived from exosomes is depicted in this paper. Re...
MicroRNAs Exosomes Base Sequence Gene Ontology Nucleotide Motifs Animals Phylogeny Mice Cluster Analysis Machine Learning Algorithms Reproducibility of Results Humans
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Reduced- and Full-Order Observers for Delayed Genetic Regulatory Networks.

IEEE transactions on cybernetics Jul 21, 2017
This paper is centered upon the state estimation for delayed genetic regulatory networks. Our aim is at estimating the concentrations of mRNAs and proteins by designing reduced-order and full-order state observers based on available network outputs. ...
Neural Networks, Computer Algorithms Reproducibility of Results RNA, Messenger Gene Regulatory Networks Models, Statistical
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Deep convolutional neural network and 3D deformable approach for tissue segmentation in musculoskeletal magnetic resonance imaging.

Magnetic resonance in medicine Jul 21, 2017
PURPOSE: To describe and evaluate a new fully automated musculoskeletal tissue segmentation method using deep convolutional neural network (CNN) and three-dimensional (3D) simplex deformable modeling to improve the accuracy and efficiency of cartilag...
Imaging, Three-Dimensional Image Processing, Computer-Assisted Magnetic Resonance Imaging Neural Networks, Computer Pattern Recognition, Automated Cartilage Humans Software Bone and Bones Algorithms Knee Reproducibility of Results
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Knowledge base and mini-expert platform for the diagnosis of inborn errors of metabolism.

Genetics in medicine : official journal of the American College of Medical Genetics Jul 20, 2017
PurposeRecognizing individuals with inherited diseases can be difficult because signs and symptoms often overlap those of common medical conditions. Focusing on inborn errors of metabolism (IEMs), we present a method that brings the knowledge of high...
Humans Reproducibility of Results ROC Curve Genetic Predisposition to Disease Genotype Software Algorithms Phenotype Clinical Decision-Making Medical Informatics Metabolism, Inborn Errors Chromosome Mapping Expert Testimony Genetic Association Studies Databases, Genetic Knowledge Bases
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Combining Low-dimensional Wavelet Features and Support Vector Machine for Arrhythmia Beat Classification.

Scientific reports Jul 20, 2017
Automatic feature extraction and classification are two main tasks in abnormal ECG beat recognition. Feature extraction is an important prerequisite prior to classification since it provides the classifier with input features, and the performance of ...
Signal Processing, Computer-Assisted Arrhythmias, Cardiac Wavelet Analysis Electrocardiography Support Vector Machine Principal Component Analysis Humans Algorithms Reproducibility of Results
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Artificial Intelligence-Based Assessment of Left Ventricular Filling Pressures From 2-Dimensional Cardiac Ultrasound Images.

JACC. Cardiovascular imaging Jul 19, 2017
Decision Support Techniques Prognosis Reproducibility of Results Ventricular Function, Left Echocardiography Predictive Value of Tests Heart Ventricles Ventricular Remodeling Humans Machine Learning Ventricular Dysfunction, Left Image Interpretation, Computer-Assisted
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Knowledge-transfer learning for prediction of matrix metalloprotease substrate-cleavage sites.

Scientific reports Jul 18, 2017
Matrix Metalloproteases (MMPs) are an important family of proteases that play crucial roles in key cellular and disease processes. Therefore, MMPs constitute important targets for drug design, development and delivery. Advanced proteomic technologies...
Isoenzymes Support Vector Machine Amino Acid Sequence Matrix Metalloproteinases Algorithms Substrate Specificity Databases, Factual Reproducibility of Results Computational Biology
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A machine learning framework involving EEG-based functional connectivity to diagnose major depressive disorder (MDD).

Medical & biological engineering & computing Jul 13, 2017
Major depressive disorder (MDD), a debilitating mental illness, could cause functional disabilities and could become a social problem. An accurate and early diagnosis for depression could become challenging. This paper proposed a machine learning fra...
Young Adult Adult Sensitivity and Specificity Male Humans Models, Theoretical Female Support Vector Machine Reproducibility of Results Bayes Theorem Electroencephalography Middle Aged Depressive Disorder, Major Surveys and Questionnaires Logistic Models
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