AIMC Topic: Area Under Curve

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Support vector machine-based multivariate pattern classification of methamphetamine dependence using arterial spin labeling.

Addiction biology Jan 9, 2019
Arterial spin labeling (ASL) magnetic resonance imaging has been widely applied to identify cerebral blood flow (CBF) abnormalities in a number of brain disorders. To evaluate its significance in detecting methamphetamine (MA) dependence, this study ...
ROC Curve Imaging, Three-Dimensional Support Vector Machine Adult Male Case-Control Studies Amphetamine-Related Disorders Cerebrovascular Circulation Perfusion Imaging Spin Labels Magnetic Resonance Imaging Area Under Curve Methamphetamine Brain Young Adult Humans
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Predicting adverse drug reactions through interpretable deep learning framework.

BMC bioinformatics Dec 28, 2018
BACKGROUND: Adverse drug reactions (ADRs) are unintended and harmful reactions caused by normal uses of drugs. Predicting and preventing ADRs in the early stage of the drug development pipeline can help to enhance drug safety and reduce financial cos...
Drug-Related Side Effects and Adverse Reactions Back Pain Necrosis Deep Learning Models, Theoretical Area Under Curve Humans
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iMEGES: integrated mental-disorder GEnome score by deep neural network for prioritizing the susceptibility genes for mental disorders in personal genomes.

BMC bioinformatics Dec 28, 2018
BACKGROUND: A range of rare and common genetic variants have been discovered to be potentially associated with mental diseases, but many more have not been uncovered. Powerful integrative methods are needed to systematically prioritize both variants ...
Software Mental Disorders Humans Neural Networks, Computer Databases, Genetic Deep Learning Area Under Curve Genetic Predisposition to Disease Genome, Human Polymorphism, Single Nucleotide
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Prediction of sepsis patients using machine learning approach: A meta-analysis.

Computer methods and programs in biomedicine Dec 26, 2018
STUDY OBJECTIVE: Sepsis is a common and major health crisis in hospitals globally. An innovative and feasible tool for predicting sepsis remains elusive. However, early and accurate prediction of sepsis could help physicians with proper treatments an...
Forecasting Humans Sepsis Machine Learning Area Under Curve Algorithms
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Diagnosis of thyroid cancer using deep convolutional neural network models applied to sonographic images: a retrospective, multicohort, diagnostic study.

The Lancet. Oncology Dec 21, 2018
BACKGROUND: The incidence of thyroid cancer is rising steadily because of overdiagnosis and overtreatment conferred by widespread use of sensitive imaging techniques for screening. This overall incidence growth is especially driven by increased diagn...
Thyroid Neoplasms Ultrasonography ROC Curve Area Under Curve China Incidence Cohort Studies Male Middle Aged Risk Assessment Humans Neural Networks, Computer Databases, Factual Adult Sensitivity and Specificity Retrospective Studies Female
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PASNet: pathway-associated sparse deep neural network for prognosis prediction from high-throughput data.

BMC bioinformatics Dec 17, 2018
BACKGROUND: Predicting prognosis in patients from large-scale genomic data is a fundamentally challenging problem in genomic medicine. However, the prognosis still remains poor in many diseases. The poor prognosis may be caused by high complexity of ...
Glioblastoma Area Under Curve High-Throughput Nucleotide Sequencing Prognosis Biomarkers, Tumor Predictive Value of Tests Neural Networks, Computer Software Humans
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Unsupervised pathology detection in medical images using conditional variational autoencoders.

International journal of computer assisted radiology and surgery Dec 12, 2018
PURPOSE: Pathology detection in medical image data is an important but a rather complicated task. In particular, the big variability of the pathologies is a challenge to automatic detection methods and even to machine learning methods. Supervised alg...
Brain Neoplasms Lung Imaging, Three-Dimensional Image Processing, Computer-Assisted Humans Machine Learning Algorithms Pathology Glioblastoma Area Under Curve Phantoms, Imaging
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Deep-learning classification using convolutional neural network for evaluation of maxillary sinusitis on panoramic radiography.

Oral radiology Dec 11, 2018
OBJECTIVES: To apply a deep-learning system for diagnosis of maxillary sinusitis on panoramic radiography, and to clarify its diagnostic performance.
Deep Learning Area Under Curve Humans Radiography, Panoramic Neural Networks, Computer Maxillary Sinusitis
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Identifying disease genes using machine learning and gene functional similarities, assessed through Gene Ontology.

PloS one Dec 10, 2018
Identifying disease genes from a vast amount of genetic data is one of the most challenging tasks in the post-genomic era. Also, complex diseases present highly heterogeneous genotype, which difficult biological marker identification. Machine learnin...
Gene Ontology Attention Deficit Disorder with Hyperactivity Autism Spectrum Disorder Humans User-Computer Interface Machine Learning Phenotype ROC Curve Area Under Curve
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Deep Learning for Image Quality Assessment of Fundus Images in Retinopathy of Prematurity.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Accurate image-based medical diagnosis relies upon adequate image quality and clarity. This has important implications for clinical diagnosis, and for emerging methods such as telemedicine and computer-based image analysis. In this study, we trained ...
Humans Telemedicine Area Under Curve Deep Learning Infant, Newborn Neural Networks, Computer Infant, Premature Fundus Oculi ROC Curve Reproducibility of Results Retina Algorithms Retinopathy of Prematurity
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