AIMC Topic: ROC Curve

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Benchmarking Deep Networks for Predicting Residue-Specific Quality of Individual Protein Models in CASP11.

Scientific reports Jan 14, 2016
Quality assessment of a protein model is to predict the absolute or relative quality of a protein model using computational methods before the native structure is available. Single-model methods only need one model as input and can predict the absolu...
Proteins Models, Molecular Amino Acids Protein Conformation Algorithms ROC Curve Support Vector Machine
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A novel mathematical model to predict prognosis of burnt patients based on logistic regression and support vector machine.

Burns : journal of the International Society for Burn Injuries Jan 13, 2016
OBJECTIVE: To develop a mathematical model of predicting mortality based on the admission characteristics of 6220 burn cases.
Shock Multivariate Analysis Body Surface Area Smoke Inhalation Injury Infant, Newborn Middle Aged Support Vector Machine Trauma Severity Indices Aged Infant Principal Component Analysis Humans Young Adult Adolescent Burns Child Adult Child, Preschool Prognosis ROC Curve Logistic Models Models, Theoretical
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Brain-inspired cheminformatics of drug-target brain interactome, synthesis, and assay of TVP1022 derivatives.

Neuropharmacology Dec 23, 2015
The use of Cheminformatics tools is gaining importance in the field of translational research from Medicinal Chemistry to Neuropharmacology. In particular, we need it for the analysis of chemical information on large datasets of bioactive compounds. ...
Animals Neural Networks, Computer Indans ROC Curve Algorithms Humans Brain Computational Biology Drug Delivery Systems Neuroprotective Agents
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Reverse Engineering and Evaluation of Prediction Models for Progression to Type 2 Diabetes: An Application of Machine Learning Using Electronic Health Records.

Journal of diabetes science and technology Dec 20, 2015
BACKGROUND: Application of novel machine learning approaches to electronic health record (EHR) data could provide valuable insights into disease processes. We utilized this approach to build predictive models for progression to prediabetes and type 2...
ROC Curve Diabetes Mellitus, Type 2 Area Under Curve Medical Informatics Adult Male Disease Progression Prediabetic State Humans Machine Learning Retrospective Studies Electronic Health Records Female Risk Factors
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GIS-based groundwater potential mapping using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran.

Environmental monitoring and assessment Dec 19, 2015
Groundwater is considered one of the most valuable fresh water resources. The main objective of this study was to produce groundwater spring potential maps in the Koohrang Watershed, Chaharmahal-e-Bakhtiari Province, Iran, using three machine learnin...
Water Resources Geology Machine Learning Geographic Information Systems ROC Curve Models, Statistical Models, Theoretical Decision Trees Groundwater Iran Environmental Monitoring Rivers
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Characterizing informative sequence descriptors and predicting binding affinities of heterodimeric protein complexes.

BMC bioinformatics Dec 9, 2015
BACKGROUND: Protein-protein interactions (PPIs) are involved in various biological processes, and underlying mechanism of the interactions plays a crucial role in therapeutics and protein engineering. Most machine learning approaches have been develo...
Hydrogen Bonding Protein Structure, Tertiary Support Vector Machine Dimerization Proteins ROC Curve Principal Component Analysis Protein Interaction Maps Area Under Curve Protein Binding
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Machine learning to assist risk-of-bias assessments in systematic reviews.

International journal of epidemiology Dec 8, 2015
BACKGROUND: Risk-of-bias assessments are now a standard component of systematic reviews. At present, reviewers need to manually identify relevant parts of research articles for a set of methodological elements that affect the risk of bias, in order t...
Logistic Models Bias Review Literature as Topic Data Mining Humans Machine Learning ROC Curve Datasets as Topic
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A novel approach for analysis of altered gait variability in amyotrophic lateral sclerosis.

Medical & biological engineering & computing Oct 30, 2015
Gait variability reflects important information for the maintenance of human beings' health. For pathological populations, changes in gait variability signal the presence of abnormal motor control strategies. Quantitative analysis of the altered gait...
Humans Entropy Gait Disorders, Neurologic Middle Aged Monitoring, Physiologic Case-Control Studies Amyotrophic Lateral Sclerosis ROC Curve Female Gait Support Vector Machine Aged Adult Male
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DisPredict: A Predictor of Disordered Protein Using Optimized RBF Kernel.

PloS one Oct 30, 2015
Intrinsically disordered proteins or, regions perform important biological functions through their dynamic conformations during binding. Thus accurate identification of these disordered regions have significant implications in proper annotation of fu...
Algorithms Intrinsically Disordered Proteins Amino Acid Sequence ROC Curve Crystallography, X-Ray Probability Support Vector Machine Protein Structure, Secondary Datasets as Topic Area Under Curve
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Neural hypernetwork approach for pulmonary embolism diagnosis.

BMC research notes Oct 29, 2015
BACKGROUND: Hypernetworks are based on topological simplicial complexes and generalize the concept of two-body relation to many-body relation. Furthermore, Hypernetworks provide a significant generalization of network theory, enabling the integration...
Machine Learning Female Aged Male Middle Aged Lung Ultrasonography ROC Curve Humans Neural Networks, Computer Pulmonary Embolism Survival Analysis
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