AIMC Topic: Area Under Curve

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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...
Point-of-Care Testing Nonlinear Dynamics Pattern Recognition, Automated Host-Pathogen Interactions Gram-Positive Bacterial Infections Bacteria Predictive Value of Tests Area Under Curve Acute Disease Gram-Negative Bacterial Infections Peptide Mapping Peritonitis Peritoneal Dialysis Aged, 80 and over Young Adult Adult Male Point-of-Care Systems Middle Aged Case-Control Studies Adolescent Time Factors ROC Curve Humans Machine Learning Biomarkers Female Reproducibility of Results Aged
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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 Numerical Analysis, Computer-Assisted Machine Learning
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A Computer-Aided Diagnosis System Using Artificial Intelligence for the Diagnosis and Characterization of Thyroid Nodules on Ultrasound: Initial Clinical Assessment.

Thyroid : official journal of the American Thyroid Association Feb 28, 2017
BACKGROUND: An initial clinical assessment is described of a new, commercially available, computer-aided diagnosis (CAD) system using artificial intelligence (AI) for thyroid ultrasound, and its performance is evaluated in the diagnosis of malignant ...
Artificial Intelligence Female Aged Adult Sensitivity and Specificity Humans Ultrasonography Thyroid Nodule ROC Curve Area Under Curve Biopsy, Fine-Needle Male Middle Aged Diagnosis, Computer-Assisted Thyroid Diseases Thyroid Neoplasms Carcinoma, Papillary Biopsy, Large-Core Needle Thyroid Cancer, Papillary
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A novel hierarchical selective ensemble classifier with bioinformatics application.

Artificial intelligence in medicine Feb 27, 2017
Selective ensemble learning is a technique that selects a subset of diverse and accurate basic models in order to generate stronger generalization ability. In this paper, we proposed a novel learning algorithm that is based on parallel optimization a...
Machine Learning Reproducibility of Results ROC Curve Protein Interaction Maps Computational Biology Databases, Genetic Proteins Area Under Curve Data Mining RNA, Transfer
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Prospective identification of hematopoietic lineage choice by deep learning.

Nature methods Feb 20, 2017
Differentiation alters molecular properties of stem and progenitor cells, leading to changes in their shape and movement characteristics. We present a deep neural network that prospectively predicts lineage choice in differentiating primary hematopoi...
Image Processing, Computer-Assisted Area Under Curve Cell Differentiation Trans-Activators Neural Networks, Computer Proto-Oncogene Proteins Cell Lineage Machine Learning Hematopoietic Stem Cells Biomarkers Gene Knock-In Techniques Animals Mice, Mutant Strains Male Time-Lapse Imaging
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Predicting antimicrobial peptides with improved accuracy by incorporating the compositional, physico-chemical and structural features into Chou's general PseAAC.

Scientific reports Feb 13, 2017
Antimicrobial peptides (AMPs) are important components of the innate immune system that have been found to be effective against disease causing pathogens. Identification of AMPs through wet-lab experiment is expensive. Therefore, development of effic...
Antimicrobial Cationic Peptides Area Under Curve Antifungal Agents Chemical Phenomena ROC Curve Antiviral Agents Support Vector Machine Databases, Protein
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Integrated Machine Learning Approaches for Predicting Ischemic Stroke and Thromboembolism in Atrial Fibrillation.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
Atrial fibrillation (AF) is a common cardiac rhythm disorder, which increases the risk of ischemic stroke and other thromboembolism (TE). Accurate prediction of TE is highly valuable for early intervention to AF patients. However, the prediction perf...
Stroke Female Humans Thromboembolism Models, Biological Risk Factors Machine Learning Male Atrial Fibrillation Computer Simulation Prognosis Area Under Curve Brain Ischemia Registries
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Structured Pyramidal Neural Networks.

International journal of neural systems Feb 9, 2017
The Pyramidal Neural Networks (PNN) are an example of a successful recently proposed model inspired by the human visual system and deep learning theory. PNNs are applied to computer vision and based on the concept of receptive fields. This paper prop...
Humans Models, Neurological Visual Pathways Time Factors Neural Networks, Computer Area Under Curve ROC Curve Female Pattern Recognition, Automated Image Processing, Computer-Assisted Male Blood Cells Support Vector Machine Pyramidal Cells
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Classification of nervous system withdrawn and approved drugs with ToxPrint features via machine learning strategies.

Computer methods and programs in biomedicine Feb 9, 2017
BACKGROUND AND OBJECTIVES: Early-phase virtual screening of candidate drug molecules plays a key role in pharmaceutical industry from data mining and machine learning to prevent adverse effects of the drugs. Computational classification methods can d...
Product Surveillance, Postmarketing Nervous System Ethylamines Safety-Based Drug Withdrawals Linear Models Pattern Recognition, Automated False Positive Reactions Drug Approval Drug Monitoring Humans Sensitivity and Specificity Risk Pharmaceutical Preparations Algorithms Benzene Data Mining Patient Safety Support Vector Machine Toluene Computer Simulation Carbon Area Under Curve
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Enhancing the Biological Relevance of Machine Learning Classifiers for Reverse Vaccinology.

International journal of molecular sciences Feb 1, 2017
Reverse vaccinology (RV) is a bioinformatics approach that can predict antigens with protective potential from the protein coding genomes of bacterial pathogens for subunit vaccine design. RV has become firmly established following the development of...
Bacterial Vaccines Epitope Mapping Vaccines, Subunit Machine Learning ROC Curve Computational Biology Support Vector Machine Area Under Curve Bacterial Proteins Epitopes Mutagenesis Antigens, Bacterial Humans
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