AIMC Topic: ROC Curve

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Machine learning-based analysis of MR radiomics can help to improve the diagnostic performance of PI-RADS v2 in clinically relevant prostate cancer.

European radiology Apr 3, 2017
OBJECTIVE: To investigate whether machine learning-based analysis of MR radiomics can help improve the performance PI-RADS v2 in clinically relevant prostate cancer (PCa).
Humans Machine Learning Aged Aged, 80 and over Support Vector Machine Magnetic Resonance Imaging Predictive Value of Tests Prostatic Neoplasms Radiology Information Systems Sensitivity and Specificity Male Middle Aged ROC Curve
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Assessment of Semantic Similarity between Proteins Using Information Content and Topological Properties of the Gene Ontology Graph.

IEEE/ACM transactions on computational biology and bioinformatics Mar 31, 2017
The semantic similarity between two interacting proteins can be estimated by combining the similarity scores of the GO terms associated with the proteins. Greater number of similar GO annotations between two proteins indicates greater interaction aff...
Saccharomyces cerevisiae Proteins Proteins Humans Databases, Protein Semantics ROC Curve Gene Ontology Protein Interaction Maps Computational Biology
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Discriminating cognitive status in Parkinson's disease through functional connectomics and machine learning.

Scientific reports Mar 28, 2017
There is growing interest in the potential of neuroimaging to help develop non-invasive biomarkers in neurodegenerative diseases. In this study, connection-wise patterns of functional connectivity were used to distinguish Parkinson's disease patients...
Machine Learning Brain Female Aged Male Middle Aged Case-Control Studies Cognitive Dysfunction ROC Curve Humans Magnetic Resonance Imaging Connectome Parkinson Disease Neuropsychological Tests Area Under Curve Antiparkinson Agents
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Automated Identification of Diabetic Retinopathy Using Deep Learning.

Ophthalmology Mar 27, 2017
PURPOSE: Diabetic retinopathy (DR) is one of the leading causes of preventable blindness globally. Performing retinal screening examinations on all diabetic patients is an unmet need, and there are many undiagnosed and untreated cases of DR. The obje...
ROC Curve Image Interpretation, Computer-Assisted Diagnostic Techniques, Ophthalmological Ophthalmologists Neural Networks, Computer Machine Learning Algorithms Reproducibility of Results Humans Diabetic Retinopathy
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A multi-resolution approach for spinal metastasis detection using deep Siamese neural networks.

Computers in biology and medicine Mar 27, 2017
Spinal metastasis, a metastatic cancer of the spine, is the most common malignant disease in the spine. In this study, we investigate the feasibility of automated spinal metastasis detection in magnetic resonance imaging (MRI) by using deep learning ...
Image Interpretation, Computer-Assisted Spinal Neoplasms Humans Aged Neural Networks, Computer Male Female Middle Aged ROC Curve Magnetic Resonance Imaging
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Utilization of machine learning for prediction of post-traumatic stress: a re-examination of cortisol in the prediction and pathways to non-remitting PTSD.

Translational psychiatry Mar 21, 2017
To date, studies of biological risk factors have revealed inconsistent relationships with subsequent post-traumatic stress disorder (PTSD). The inconsistent signal may reflect the use of data analytic tools that are ill equipped for modeling the comp...
Adrenocorticotropic Hormone Linear Models Urine Wounds and Injuries Psychological Trauma Female Receptors, Glucocorticoid Young Adult Hydrocortisone Adult Male Saliva Risk Assessment Lymphocytes Stress Disorders, Post-Traumatic Humans Heart Rate ROC Curve Blood Pressure Machine Learning Support Vector Machine Algorithms Area Under Curve Longitudinal Studies Emergency Service, Hospital Norepinephrine
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Machine-learning algorithms define pathogen-specific local immune fingerprints in peritoneal dialysis patients with bacterial infections.

Kidney international Mar 17, 2017
The immune system has evolved to sense invading pathogens, control infection, and restore tissue integrity. Despite symptomatic variability in patients, unequivocal evidence that an individual's immune system distinguishes between different organisms...
Young Adult Adult Male Point-of-Care Systems Middle Aged Female Reproducibility of Results Aged Aged, 80 and over Bacteria Predictive Value of Tests Area Under Curve Acute Disease Point-of-Care Testing Case-Control Studies Adolescent Time Factors ROC Curve Humans Machine Learning Biomarkers Gram-Negative Bacterial Infections Nonlinear Dynamics Peptide Mapping Pattern Recognition, Automated Peritonitis Host-Pathogen Interactions Peritoneal Dialysis Gram-Positive Bacterial Infections
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Shared Consensus Machine Learning Models for Predicting Blood Stage Malaria Inhibition.

Journal of chemical information and modeling Mar 17, 2017
The development of new antimalarial therapies is essential, and lowering the barrier of entry for the screening and discovery of new lead compound classes can spur drug development at organizations that may not have large compound screening libraries...
Quantitative Structure-Activity Relationship Models, Theoretical Bayes Theorem Malaria Antimalarials Machine Learning Temperature Drug Discovery ROC Curve
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Generating highly accurate prediction hypotheses through collaborative ensemble learning.

Scientific reports Mar 17, 2017
Ensemble generation is a natural and convenient way of achieving better generalization performance of learning algorithms by gathering their predictive capabilities. Here, we nurture the idea of ensemble-based learning by combining bagging and boosti...
Algorithms ROC Curve Models, Theoretical Area Under Curve Machine Learning Numerical Analysis, Computer-Assisted
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Prediction of virus-host infectious association by supervised learning methods.

BMC bioinformatics Mar 14, 2017
BACKGROUND: The study of virus-host infectious association is important for understanding the functions and dynamics of microbial communities. Both cellular and fractionated viral metagenomic data generate a large number of viral contigs with missing...
Bacteria Genome, Viral Logistic Models Sequence Analysis, DNA Reproducibility of Results Likelihood Functions Models, Theoretical Bayes Theorem Viruses ROC Curve Support Vector Machine Metagenomics DNA, Viral Host-Pathogen Interactions
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