AIMC Topic: Reproducibility of Results

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Simultaneous detection and classification of breast masses in digital mammograms via a deep learning YOLO-based CAD system.

Computer methods and programs in biomedicine Jan 31, 2018
BACKGROUND AND OBJECTIVE: Automatic detection and classification of the masses in mammograms are still a big challenge and play a crucial role to assist radiologists for accurate diagnosis. In this paper, we propose a novel Computer-Aided Diagnosis (...
Breast Neoplasms Humans Diagnosis, Computer-Assisted Neural Networks, Computer Mammography Radiology Information Systems Machine Learning Probability Female Reproducibility of Results
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Development and Validation of Machine Learning Models for Prediction of 1-Year Mortality Utilizing Electronic Medical Record Data Available at the End of Hospitalization in Multicondition Patients: a Proof-of-Concept Study.

Journal of general internal medicine Jan 30, 2018
BACKGROUND: Predicting death in a cohort of clinically diverse, multicondition hospitalized patients is difficult. Prognostic models that use electronic medical record (EMR) data to determine 1-year death risk can improve end-of-life planning and ris...
Cohort Studies Aged, 80 and over Models, Theoretical Humans Proof of Concept Study Adult Machine Learning Mortality Male Reproducibility of Results Retrospective Studies Middle Aged Risk Factors Electronic Health Records Hospitalization Female Aged Data Analysis Forecasting
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Prediction of GPCR-Ligand Binding Using Machine Learning Algorithms.

Computational and mathematical methods in medicine Jan 30, 2018
We propose a novel method that predicts binding of G-protein coupled receptors (GPCRs) and ligands. The proposed method uses hub and cycle structures of ligands and amino acid motif sequences of GPCRs, rather than the 3D structure of a receptor or si...
Area Under Curve Reproducibility of Results Humans ROC Curve Binding Sites Quercetin Protein Binding Machine Learning Amino Acid Motifs Ligands Receptors, G-Protein-Coupled Software Sequence Analysis, Protein False Positive Reactions Algorithms
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A Shared Vision for Machine Learning in Neuroscience.

The Journal of neuroscience : the official journal of the Society for Neuroscience Jan 26, 2018
With ever-increasing advancements in technology, neuroscientists are able to collect data in greater volumes and with finer resolution. The bottleneck in understanding how the brain works is consequently shifting away from the amount and type of data...
Neurosciences Animals Big Data Information Dissemination Connectome Humans Machine Learning Brain Reproducibility of Results
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Characterization of Adrenal Lesions on Unenhanced MRI Using Texture Analysis: A Machine-Learning Approach.

Journal of magnetic resonance imaging : JMRI Jan 17, 2018
BACKGROUND: Adrenal adenomas (AA) are the most common benign adrenal lesions, often characterized based on intralesional fat content as either lipid-rich (LRA) or lipid-poor (LPA). The differentiation of AA, particularly LPA, from nonadenoma adrenal ...
Humans Machine Learning Algorithms Young Adult Adult Male Middle Aged Adolescent Retrospective Studies Female Reproducibility of Results Aged Adenoma Adrenal Glands Adrenal Gland Neoplasms Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Contrast Media Pattern Recognition, Automated Magnetic Resonance Imaging Lipids
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Machine-learned analysis of quantitative sensory testing responses to noxious cold stimulation in healthy subjects.

European journal of pain (London, England) Jan 16, 2018
BACKGROUND: Pain in response to noxious cold has a complex molecular background probably involving several types of sensors. A recent observation has been the multimodal distribution of human cold pain thresholds. This study aimed at analysing reprod...
Female Reproducibility of Results Young Adult Adult Humans Machine Learning Male Healthy Volunteers Pain Threshold Middle Aged Cold Temperature Pain Perception Adolescent TRPA1 Cation Channel Pain
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iMem-2LSAAC: A two-level model for discrimination of membrane proteins and their types by extending the notion of SAAC into chou's pseudo amino acid composition.

Journal of theoretical biology Jan 11, 2018
Membrane proteins execute significant roles in cellular processes of living organisms, ranging from cell signaling to cell adhesion. As a major part of a cell, the identification of membrane proteins and their functional types become a challenging jo...
Amino Acid Sequence Neural Networks, Computer Sequence Analysis, Protein Algorithms Reproducibility of Results Computational Biology Membrane Proteins Support Vector Machine Databases, Protein
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Deep Convolutional Neural Networks for breast cancer screening.

Computer methods and programs in biomedicine Jan 11, 2018
BACKGROUND AND OBJECTIVE: Radiologists often have a hard time classifying mammography mass lesions which leads to unnecessary breast biopsies to remove suspicions and this ends up adding exorbitant expenses to an already burdened patient and health c...
Diagnosis, Computer-Assisted Early Detection of Cancer Mammography Databases, Factual Female Reproducibility of Results Breast Neoplasms Humans Neural Networks, Computer Machine Learning
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Machine learning techniques for medical diagnosis of diabetes using iris images.

Computer methods and programs in biomedicine Jan 11, 2018
BACKGROUND AND OBJECTIVE: Complementary and alternative medicine techniques have shown their potential for the treatment and diagnosis of chronical diseases like diabetes, arthritis etc. On the same time digital image processing techniques for diseas...
Male Middle Aged Case-Control Studies Diagnosis, Computer-Assisted Machine Learning Humans Diabetes Mellitus, Type 2 Female Image Processing, Computer-Assisted Reproducibility of Results Automation Sensitivity and Specificity Iris
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Taxonomy of multi-focal nematode image stacks by a CNN based image fusion approach.

Computer methods and programs in biomedicine Jan 11, 2018
BACKGROUND AND OBJECTIVE: In the biomedical field, digital multi-focal images are very important for documentation and communication of specimen data, because the morphological information for a transparent specimen can be captured in form of a stack...
Pattern Recognition, Automated Nematoda Animals Neural Networks, Computer Image Processing, Computer-Assisted Support Vector Machine Algorithms Linear Models Reproducibility of Results Sensitivity and Specificity
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