AIMC Topic: ROC Curve

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GGIP: Structure and sequence-based GPCR-GPCR interaction pair predictor.

Proteins Jun 8, 2016
G Protein-Coupled Receptors (GPCRs) are important pharmaceutical targets. More than 30% of currently marketed pharmaceutical medicines target GPCRs. Numerous studies have reported that GPCRs function not only as monomers but also as homo- or hetero-d...
Humans Animals ROC Curve Protein Binding Mice Amino Acid Sequence Binding Sites Protein Structure, Secondary Protein Multimerization Protein Interaction Domains and Motifs Support Vector Machine Databases, Protein Receptors, G-Protein-Coupled Area Under Curve Models, Molecular
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The use of machine learning for the identification of peripheral artery disease and future mortality risk.

Journal of vascular surgery Jun 3, 2016
OBJECTIVE: A key aspect of the precision medicine effort is the development of informatics tools that can analyze and interpret "big data" sets in an automated and adaptive fashion while providing accurate and actionable clinical information. The aim...
Coronary Angiography Data Mining Ankle Brachial Index Linear Models Databases, Factual Aged Prognosis Male Genomics Female Middle Aged Logistic Models Reproducibility of Results Risk Assessment Peripheral Arterial Disease Risk Factors Predictive Value of Tests Humans ROC Curve Area Under Curve Machine Learning Algorithms Decision Support Techniques
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Machine-Learning-Based Prediction of a Missed Scheduled Clinical Appointment by Patients With Diabetes.

Journal of diabetes science and technology May 3, 2016
BACKGROUND: About 10% of patients with diabetes discontinue treatment, resulting in the progression of diabetes-related complications and reduced quality of life.
ROC Curve Logistic Models Diabetes Mellitus Area Under Curve No-Show Patients Humans Machine Learning Algorithms Female Male
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Learning of speckle statistics for in vivo and noninvasive characterization of cutaneous wound regions using laser speckle contrast imaging.

Microvascular research Apr 27, 2016
Laser speckle contrast imaging (LSCI) provides a noninvasive and cost effective solution for in vivo monitoring of blood flow. So far, most of the researches consider changes in speckle pattern (i.e. correlation time of speckle intensity fluctuation)...
Perfusion Imaging Sarcoma 180 Image Interpretation, Computer-Assisted Immunohistochemistry Blood Flow Velocity Data Interpretation, Statistical Laser-Doppler Flowmetry Skin Microcirculation Supervised Machine Learning Reproducibility of Results Regional Blood Flow Mice Animals Wound Healing Male Disease Models, Animal Time Factors Predictive Value of Tests ROC Curve Area Under Curve
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Effect of fuzzy partitioning in Crohn's disease classification: a neuro-fuzzy-based approach.

Medical & biological engineering & computing Apr 22, 2016
Crohn's disease (CD) diagnosis is a tremendously serious health problem due to its ultimately effect on the gastrointestinal tract that leads to the need of complex medical assistance. In this study, the backpropagation neural network fuzzy classifie...
Humans Neural Networks, Computer ROC Curve Fuzzy Logic Crohn Disease
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A New Feature Vector Based on Gene Ontology Terms for Protein-Protein Interaction Prediction.

IEEE/ACM transactions on computational biology and bioinformatics Apr 20, 2016
Protein-protein interaction (PPI) plays a key role in understanding cellular mechanisms in different organisms. Many supervised classifiers like Random Forest (RF) and Support Vector Machine (SVM) have been used for intra or inter-species interaction...
Saccharomyces cerevisiae Proteins Databases, Protein Escherichia coli Proteins Drosophila Proteins Gene Ontology Protein Interaction Mapping ROC Curve Computational Biology Support Vector Machine Proteins Humans Animals
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DanQ: a hybrid convolutional and recurrent deep neural network for quantifying the function of DNA sequences.

Nucleic acids research Apr 15, 2016
Modeling the properties and functions of DNA sequences is an important, but challenging task in the broad field of genomics. This task is particularly difficult for non-coding DNA, the vast majority of which is still poorly understood in terms of fun...
Polymorphism, Single Nucleotide Sequence Analysis, DNA DNA Quantitative Trait Loci Web Browser Software Genome-Wide Association Study ROC Curve Genomics Humans Neural Networks, Computer
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Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer's Disease.

International journal of neural systems Apr 4, 2016
Computer Aided Diagnosis (CAD) constitutes an important tool for the early diagnosis of Alzheimer's Disease (AD), which, in turn, allows the application of treatments that can be simpler and more likely to be effective. This paper explores the constr...
Humans Brain Female Aged Male Disease Progression Cognitive Dysfunction ROC Curve Imaging, Three-Dimensional Image Interpretation, Computer-Assisted Unsupervised Machine Learning Datasets as Topic Area Under Curve Early Diagnosis Alzheimer Disease Pattern Recognition, Automated Positron-Emission Tomography Gray Matter
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The Virtual Screening of the Drug Protein with a Few Crystal Structures Based on the Adaboost-SVM.

Computational and mathematical methods in medicine Apr 3, 2016
Using the theory of machine learning to assist the virtual screening (VS) has been an effective plan. However, the quality of the training set may reduce because of mixing with the wrong docking poses and it will affect the screening efficiencies. To...
Support Vector Machine Drug Design Hydrogen Humans Models, Statistical Cathepsin K Area Under Curve ROC Curve Software Proteins Binding Sites Ligands Imaging, Three-Dimensional Algorithms Databases, Protein Combinatorial Chemistry Techniques Crystallization Protein Binding Reproducibility of Results Protein Conformation Computational Biology Chemistry, Pharmaceutical
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Optimal training dataset composition for SVM-based, age-independent, automated epileptic seizure detection.

Medical & biological engineering & computing Mar 31, 2016
Automated seizure detection is a valuable asset to health professionals, which makes adequate treatment possible in order to minimize brain damage. Most research focuses on two separate aspects of automated seizure detection: EEG feature computation ...
Humans Databases, Factual Aged Aged, 80 and over Adult Electroencephalography Epilepsy Signal Processing, Computer-Assisted Middle Aged Infant Diagnosis, Computer-Assisted ROC Curve Support Vector Machine
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