AIMC Topic: ROC Curve

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A Machine Learning Approach for MicroRNA Precursor Prediction in Retro-transcribing Virus Genomes.

Journal of integrative bioinformatics Dec 22, 2016
Identification of microRNA (miRNA) precursors has seen increased efforts in recent years. The difficulty in experimental detection of pre-miRNAs increased the usage of computational approaches. Most of these approaches rely on machine learning especi...
MicroRNAs Humans Reverse Transcription Nucleic Acid Conformation Artificial Intelligence Genome, Human RNA Precursors ROC Curve Genome, Viral
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Development of a Machine Learning Algorithm for the Surveillance of Autism Spectrum Disorder.

PloS one Dec 21, 2016
The Autism and Developmental Disabilities Monitoring (ADDM) Network conducts population-based surveillance of autism spectrum disorder (ASD) among 8-year old children in multiple US sites. To classify ASD, trained clinicians review developmental eval...
Georgia Humans Machine Learning Prevalence Algorithms Child Autism Spectrum Disorder Female ROC Curve Sensitivity and Specificity Area Under Curve Male
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Improving diagnostic recognition of primary hyperparathyroidism with machine learning.

Surgery Dec 15, 2016
BACKGROUND: Parathyroidectomy offers the only cure for primary hyperparathyroidism, but today only 50% of primary hyperparathyroidism patients are referred for operation, in large part, because the condition is widely under-recognized. The diagnosis ...
Parathyroid Hormone Parathyroidectomy Quality Improvement Hyperparathyroidism, Primary Case-Control Studies ROC Curve Predictive Value of Tests Bayes Theorem Machine Learning Algorithms Databases, Factual Female Humans Sensitivity and Specificity Male Middle Aged Severity of Illness Index
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Using deep belief network modelling to characterize differences in brain morphometry in schizophrenia.

Scientific reports Dec 12, 2016
Neuroimaging-based models contribute to increasing our understanding of schizophrenia pathophysiology and can reveal the underlying characteristics of this and other clinical conditions. However, the considerable variability in reported neuroimaging ...
Adult Male Middle Aged ROC Curve Humans Neural Networks, Computer Brain Female Area Under Curve Schizophrenia Psychotic Disorders Neuroimaging Support Vector Machine Magnetic Resonance Imaging Models, Neurological
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Automated Detection of Cancer Associated Genes Using a Combined Fuzzy-Rough-Set-Based F-Information and Water Swirl Algorithm of Human Gene Expression Data.

PloS one Dec 9, 2016
This study describes a novel approach to reducing the challenges of highly nonlinear multiclass gene expression values for cancer diagnosis. To build a fruitful system for cancer diagnosis, in this study, we introduced two levels of gene selection su...
Humans Algorithms Reproducibility of Results Neoplasms Gene Expression Profiling ROC Curve Genetic Predisposition to Disease Oligonucleotide Array Sequence Analysis Gene Expression Regulation, Neoplastic Fuzzy Logic Genetic Testing Monte Carlo Method
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Development of Type 2 Diabetes Mellitus Phenotyping Framework Using Expert Knowledge and Machine Learning Approach.

Journal of diabetes science and technology Dec 7, 2016
BACKGROUND: Phenotyping is an automated technique that can be used to distinguish patients based on electronic health records. To improve the quality of medical care and advance type 2 diabetes mellitus (T2DM) research, the demand for T2DM phenotypin...
Humans Phenotype Electronic Health Records Sensitivity and Specificity ROC Curve Diabetes Mellitus, Type 2 Support Vector Machine Area Under Curve
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Non-small cell lung cancer: quantitative phenotypic analysis of CT images as a potential marker of prognosis.

Scientific reports Dec 6, 2016
This was a retrospective study to investigate the predictive and prognostic ability of quantitative computed tomography phenotypic features in patients with non-small cell lung cancer (NSCLC). 661 patients with pathological confirmed as NSCLC were en...
Female Carcinoma, Non-Small-Cell Lung Aged Lung Neoplasm Staging Humans Male ROC Curve Image Interpretation, Computer-Assisted Prognosis Middle Aged Lung Neoplasms Proportional Hazards Models Retrospective Studies Support Vector Machine Tomography, X-Ray Computed
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Automatic Detection and Classification of Colorectal Polyps by Transferring Low-Level CNN Features From Nonmedical Domain.

IEEE journal of biomedical and health informatics Dec 5, 2016
Colorectal cancer (CRC) is a leading cause of cancer deaths worldwide. Although polypectomy at early stage reduces CRC incidence, 90% of the polyps are small and diminutive, where removal of them poses risks to patients that may outweigh the benefits...
ROC Curve Colonic Polyps Image Interpretation, Computer-Assisted Neural Networks, Computer Humans Machine Learning Colonoscopy
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Serum concentration of vascular endothelial growth factor and depth of trophoblastic invasion in ampullary ectopic pregnancy.

Clinics (Sao Paulo, Brazil) Dec 1, 2016
OBJECTIVE:: To evaluate the association between the depth of trophoblastic infiltration and serum vascular endothelial growth factorconcentration in patients with an ampullary pregnancy.
ROC Curve Humans Prospective Studies Statistics, Nonparametric Pregnancy Predictive Value of Tests Cross-Sectional Studies Fallopian Tubes Vascular Endothelial Growth Factor A Female Adolescent Pregnancy, Tubal Gestational Age Young Adult Child Trophoblasts Adult
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Boosting Docking-Based Virtual Screening with Deep Learning.

Journal of chemical information and modeling Nov 29, 2016
In this work, we propose a deep learning approach to improve docking-based virtual screening. The deep neural network that is introduced, DeepVS, uses the output of a docking program and learns how to extract relevant features from basic data such as...
Algorithms Molecular Docking Simulation Computer-Aided Design Humans Drug Design Neural Networks, Computer ROC Curve Software Proteins Ligands
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