AIMC Topic: Reproducibility of Results

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Deep Learning to Classify Intraductal Papillary Mucinous Neoplasms Using Magnetic Resonance Imaging.

Pancreas Jul 1, 2019
OBJECTIVE: This study aimed to evaluate a deep learning protocol to identify neoplasia in intraductal papillary mucinous neoplasia (IPMN) in comparison to current radiographic criteria.
Aged Aged, 80 and over Male Gastroenterology Humans Neural Networks, Computer Female Reproducibility of Results Practice Guidelines as Topic Middle Aged Pancreatic Intraductal Neoplasms Deep Learning ROC Curve Magnetic Resonance Imaging
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An artificial neural network model for clinical score prediction in Alzheimer disease using structural neuroimaging measures.

Journal of psychiatry & neuroscience : JPN Jul 1, 2019
BACKGROUND: The development of diagnostic and prognostic tools for Alzheimer disease is complicated by substantial clinical heterogeneity in prodromal stages. Many neuroimaging studies have focused on case–control classification and predicting conver...
Proof of Concept Study Magnetic Resonance Imaging Alzheimer Disease Neuroimaging Cerebral Cortex Female Reproducibility of Results Aged Aged, 80 and over Cross-Sectional Studies Male Severity of Illness Index Humans Longitudinal Studies Neural Networks, Computer
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Model-Based and Model-Free Techniques for Amyotrophic Lateral Sclerosis Diagnostic Prediction and Patient Clustering.

Neuroinformatics Jul 1, 2019
Amyotrophic lateral sclerosis (ALS) is a complex progressive neurodegenerative disorder with an estimated prevalence of about 5 per 100,000 people in the United States. In this study, the ALS disease progression is measured by the change of Amyotroph...
Humans Reproducibility of Results Disease Progression Machine Learning Adult Bayes Theorem Cluster Analysis Female Male Amyotrophic Lateral Sclerosis Middle Aged Linear Models
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Medicine contends with how to use artificial intelligence.

Science (New York, N.Y.) Jun 21, 2019
Hospitals Diagnostic Imaging Humans Artificial Intelligence Medicine Reproducibility of Results
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Obstructive sleep apnea syndrome detection based on ballistocardiogram via machine learning approach.

Mathematical biosciences and engineering : MBE Jun 19, 2019
Obstructive sleep apnea (OSA) is a common sleep-related respiratory disease that affects people's health, especially in the elderly. In the traditional PSG-based OSA detection, people's sleep may be disturbed, meanwhile the electrode slices are easil...
Ballistocardiography Reproducibility of Results Sensitivity and Specificity Diagnosis, Computer-Assisted Electrocardiography Humans Machine Learning Algorithms Decision Trees Nonlinear Dynamics Signal Processing, Computer-Assisted Sleep Sleep Apnea, Obstructive False Positive Reactions Heart Rate Risk
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AIControl: replacing matched control experiments with machine learning improves ChIP-seq peak identification.

Nucleic acids research Jun 4, 2019
ChIP-seq is a technique to determine binding locations of transcription factors, which remains a central challenge in molecular biology. Current practice is to use a 'control' dataset to remove background signals from a immunoprecipitation (IP) 'targ...
Chromatin Immunoprecipitation Transcription Factors Sequence Analysis, DNA High-Throughput Nucleotide Sequencing Binding Sites Humans Machine Learning Algorithms Reproducibility of Results Protein Binding Computational Biology
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Preliminary Evaluation of Disturbance Torque Estimation Approaches for Lower-limb Robotic Rehabilitation.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings] Jun 1, 2019
In robotic rehabilitation, knowledge of human joint torques is very important to provide reliable data for clinical assessment and to provide feedback information about the user in order to design safe robotic control strategies. Nevertheless, their ...
Stroke Rehabilitation Humans Time Factors Algorithms Reproducibility of Results Lower Extremity Robotics Torque
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Convolutional neural network approach to lung cancer classification integrating protein interaction network and gene expression profiles.

Journal of bioinformatics and computational biology Jun 1, 2019
Deep learning technologies are permeating every field from image and speech recognition to computational and systems biology. However, the application of convolutional neural networks (CCNs) to "omics" data poses some difficulties, such as the proces...
Humans Neural Networks, Computer Machine Learning Algorithms Reproducibility of Results Transcriptome Protein Interaction Maps Lung Neoplasms Support Vector Machine Cluster Analysis Random Allocation
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Robot Diagnosis Test for Egocentric and Allocentric Hemineglect.

Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists Jun 1, 2019
OBJECTIVE: Patients with hemineglect fail to respond to egocentric stimuli or allocentric parts of stimuli contralateral to the brain lesion. The clinical diagnosis of hemineglect mainly involves evaluation of the egocentric form, while less sensitiv...
Functional Laterality Neuropsychological Tests Space Perception Perceptual Disorders Robotics Stroke Reference Values Attention Aged Aged, 80 and over Adult Sensitivity and Specificity Male Middle Aged Case-Control Studies Diagnosis, Computer-Assisted Humans Female Reproducibility of Results
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A Deep Learning-Based Decision Support Tool for Precision Risk Assessment of Breast Cancer.

JCO clinical cancer informatics May 1, 2019
PURPOSE: The Breast Imaging Reporting and Data System (BI-RADS) lexicon was developed to standardize mammographic reporting to assess cancer risk and facilitate the decision to biopsy. Because of substantial interobserver variability in the applicati...
Risk Assessment Electronic Health Records Medical Informatics Deep Learning Female Mammography Decision Support Systems, Clinical Humans Area Under Curve Reproducibility of Results Image Processing, Computer-Assisted Biopsy Algorithms Breast Neoplasms Expert Systems Databases, Factual Precision Medicine
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