AIMC Topic: ROC Curve

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[Application of Ischemia Modified Albumin for Acute Ischemic Heart Disease in Forensic Science].

Fa yi xue za zhi Oct 25, 2017
OBJECTIVES: To explore the application value and forensic significance of ischemia modified albumin （IMA） in pericardial fluid to diagnose sudden cardiac death.
Acute Disease Myocardial Infarction Serum Albumin, Human Myocardial Ischemia Humans Sensitivity and Specificity Biomarkers Forensic Sciences Male Female Serum Albumin Middle Aged ROC Curve
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Deep Learning with Convolutional Neural Network for Differentiation of Liver Masses at Dynamic Contrast-enhanced CT: A Preliminary Study.

Radiology Oct 23, 2017
Purpose To investigate diagnostic performance by using a deep learning method with a convolutional neural network (CNN) for the differentiation of liver masses at dynamic contrast agent-enhanced computed tomography (CT). Materials and Methods This cl...
Humans Neural Networks, Computer Machine Learning Retrospective Studies Liver Neoplasms Carcinoma, Hepatocellular Contrast Media Aged, 80 and over Diagnosis, Differential Tomography, X-Ray Computed Sensitivity and Specificity Bile Duct Neoplasms Middle Aged Cholangiocarcinoma Female ROC Curve Aged
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Towards multilevel mental stress assessment using SVM with ECOC: an EEG approach.

Medical & biological engineering & computing Oct 18, 2017
Mental stress has been identified as one of the major contributing factors that leads to various diseases such as heart attack, depression, and stroke. To avoid this, stress quantification is important for clinical intervention and disease prevention...
Alpha Rhythm Support Vector Machine Electroencephalography Electrodes Multilevel Analysis Male Stress, Psychological ROC Curve Humans Young Adult
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Design and application of tumor prediction model based on statistical method.

Computer assisted surgery (Abingdon, England) Oct 16, 2017
Two prediction models for tumor prediction based on logistic regression and BP neural network were proposed in this paper; a sensitivity analysis of risk factors was also conducted. The two protocols will be implemented in the R language and demonstr...
Models, Statistical Predictive Value of Tests ROC Curve Lung Neoplasms Logistic Models Humans Neural Networks, Computer Female Male Risk Assessment Neoplasms
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A machine learning approach for predicting CRISPR-Cas9 cleavage efficiencies and patterns underlying its mechanism of action.

PLoS computational biology Oct 16, 2017
The adaptation of the CRISPR-Cas9 system as a genome editing technique has generated much excitement in recent years owing to its ability to manipulate targeted genes and genomic regions that are complementary to a programmed single guide RNA (sgRNA)...
Humans Machine Learning Gene Editing RNA, Guide, CRISPR-Cas Systems Algorithms ROC Curve Computational Biology CRISPR-Cas Systems
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A prediction model for early death in non-small cell lung cancer patients following curative-intent chemoradiotherapy.

Acta oncologica (Stockholm, Sweden) Oct 14, 2017
BACKGROUND: Early death after a treatment can be seen as a therapeutic failure. Accurate prediction of patients at risk for early mortality is crucial to avoid unnecessary harm and reducing costs. The goal of our work is two-fold: first, to evaluate ...
Humans Machine Learning Chemoradiotherapy Treatment Outcome Carcinoma, Non-Small-Cell Lung Models, Statistical Area Under Curve Prognosis ROC Curve Lung Neoplasms
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Ab-initio conformational epitope structure prediction using genetic algorithm and SVM for vaccine design.

Computer methods and programs in biomedicine Oct 12, 2017
BACKGROUND AND OBJECTIVE: T-cell epitope structure identification is a significant challenging immunoinformatic problem within epitope-based vaccine design. Epitopes or antigenic peptides are a set of amino acids that bind with the Major Histocompati...
Support Vector Machine Area Under Curve Epitopes Algorithms Vaccines Humans T-Lymphocytes ROC Curve
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Prediction of Human Phenotype Ontology terms by means of hierarchical ensemble methods.

BMC bioinformatics Oct 12, 2017
BACKGROUND: The prediction of human gene-abnormal phenotype associations is a fundamental step toward the discovery of novel genes associated with human disorders, especially when no genes are known to be associated with a specific disease. In this c...
Biological Ontologies Molecular Sequence Annotation Humans Algorithms Phenotype ROC Curve Genetic Association Studies Area Under Curve
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Supervised machine learning techniques to predict binding affinity. A study for cyclin-dependent kinase 2.

Biochemical and biophysical research communications Oct 7, 2017
Here we report the development of a machine-learning model to predict binding affinity based on the crystallographic structures of protein-ligand complexes. We used an ensemble of crystallographic structures (resolution better than 1.5 Å resolution) ...
Molecular Docking Simulation Drug Design Antineoplastic Agents ROC Curve Humans Datasets as Topic Protein Kinase Inhibitors Thermodynamics Cyclin-Dependent Kinase 2 Databases, Protein Supervised Machine Learning Ligands Inhibitory Concentration 50
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Early hospital mortality prediction of intensive care unit patients using an ensemble learning approach.

International journal of medical informatics Oct 5, 2017
BACKGROUND: Mortality prediction of hospitalized patients is an important problem. Over the past few decades, several severity scoring systems and machine learning mortality prediction models have been developed for predicting hospital mortality. By ...
Bayes Theorem Outcome Assessment, Health Care Heart Diseases Severity of Illness Index Adolescent Female Aged Hospital Mortality Aged, 80 and over Humans ROC Curve Young Adult Machine Learning Adult Databases, Factual Male Intensive Care Units Middle Aged
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