AIMC Topic: ROC Curve

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Detecting reliable non interacting proteins (NIPs) significantly enhancing the computational prediction of protein-protein interactions using machine learning methods.

Molecular bioSystems Mar 1, 2016
Protein-protein interactions (PPIs) play a vital role in most biological processes. Hence their comprehension can promote a better understanding of the mechanisms underlying living systems. However, besides the cost and the time limitation involved i...
Databases, Protein Sample Size Probability Protein Interaction Mapping Machine Learning Reproducibility of Results ROC Curve Protein Binding Computational Biology
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Accuracy of machine learning classifiers using bilateral data from a Scheimpflug camera for identifying eyes with preclinical signs of keratoconus.

Journal of cataract and refractive surgery Feb 1, 2016
PURPOSE: To describe the topographic and tomographic characteristics of normal fellow eyes of unilateral keratoconus cases and to evaluate the accuracy of machine learning classifiers in discriminating healthy corneas from the normal fellow corneas.
Cornea Male Middle Aged Case-Control Studies ROC Curve Female Reproducibility of Results Young Adult Adult Corneal Pachymetry Keratoconus Corneal Topography Diagnostic Techniques, Ophthalmological Photography Humans Machine Learning Retrospective Studies
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Multicenter Comparison of Machine Learning Methods and Conventional Regression for Predicting Clinical Deterioration on the Wards.

Critical care medicine Feb 1, 2016
OBJECTIVE: Machine learning methods are flexible prediction algorithms that may be more accurate than conventional regression. We compared the accuracy of different techniques for detecting clinical deterioration on the wards in a large, multicenter ...
Humans Neural Networks, Computer Machine Learning Intensive Care Units Survival Analysis Vital Signs Heart Arrest Diagnostic Techniques and Procedures Logistic Models Socioeconomic Factors Support Vector Machine Age Factors Risk Assessment Models, Statistical Cohort Studies Time Factors ROC Curve
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Assessing the association between 25-OH vitamin D levels and ROMA score in a population of obese women.

Journal of biological regulators and homeostatic agents Jan 1, 2016
The “Risk of Malignancy Algorithm” (ROMA) combines the diagnostic power of the CA125 and HE4 markers with menopausal status to predict the risk for developing epithelial ovarian cancer (EOC). The aim of this study was to evaluate the association betw...
Middle Aged ROC Curve Enzyme-Linked Immunosorbent Assay Risk Factors Humans Vitamin D Obesity Young Adult Algorithms Ovarian Neoplasms Adult Bone Density Carcinoma, Ovarian Epithelial Sensitivity and Specificity Female Neoplasms, Glandular and Epithelial Biomarkers, Tumor
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Interleukin-6 and interleukin-8 in diagnosing neonatal septicemia.

Journal of biological regulators and homeostatic agents Jan 1, 2016
Neonatal septicemia (NS) is a common cause of death of newborn infants, hence early diagnosis and treatment are of the utmost importance. However, lack of specific clinical symptoms and late detection delay a correct diagnosis. It is therefore of gre...
Sensitivity and Specificity Male ROC Curve Enzyme-Linked Immunosorbent Assay Area Under Curve Interleukin-6 Interleukin-8 Prospective Studies Humans Neonatal Sepsis Female Infant, Newborn
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Classifying prostate cancer patients based on total prostate-specific antigen and free prostate-specific antigen features by support vector machine.

Journal of cancer research and therapeutics Jan 1, 2016
AIMS OF STUDY: In this work, we enhanced the role of prostate-specific antigen (PSA) test by examining the relation between free PSA (fPSA) and total PSA (tPSA) value and other biological information such as age and volume of prostate. Our primary go...
Humans Reproducibility of Results Aged Aged, 80 and over Adult Support Vector Machine Prostatic Neoplasms Prostate-Specific Antigen Biopsy Tumor Burden Sensitivity and Specificity Biomarkers, Tumor Male Middle Aged ROC Curve
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Fuzzy Computer-Aided Alzheimer's Disease Diagnosis Based on MRI Data.

Current Alzheimer research Jan 1, 2016
Alzheimer's disease (AD) is a chronic neurodegenerative disease of the central nervous system that has no cure and leads to death. One of the most prevalent tools for AD diagnosis is magnetic resonance imaging (MRI), because of its capability to visu...
ROC Curve Magnetic Resonance Imaging Fuzzy Logic Brain Mapping Alzheimer Disease Image Interpretation, Computer-Assisted Female Aged Aged, 80 and over Male Cognitive Dysfunction Humans Algorithms Databases, Factual
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HUMAN DNA QUANTIFICATION IN THE STOOLS OF PATIENTS WITH COLORECTAL CANCER.

Arquivos de gastroenterologia Dec 1, 2015
BACKGROUND: Colorectal cancer is one of the main cause of cancer in the world. Colonoscopy is the best screen method, however the compliance is less than 50%. Quantification of human DNA (hDNA) in the feces may be a possible screen non-invasive metho...
Neoplasm Staging Reproducibility of Results Colonoscopy Humans Sensitivity and Specificity Polymerase Chain Reaction Case-Control Studies Female DNA, Neoplasm Colorectal Neoplasms Feces ROC Curve Biomarkers, Tumor Male
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A systematic approach to prioritize drug targets using machine learning, a molecular descriptor-based classification model, and high-throughput screening of plant derived molecules: a case study in oral cancer.

Molecular bioSystems Dec 1, 2015
Systems-biology inspired identification of drug targets and machine learning-based screening of small molecules which modulate their activity have the potential to revolutionize modern drug discovery by complementing conventional methods. To utilize ...
Drug Discovery Cell Line, Tumor ROC Curve Gene Regulatory Networks Protein Binding Computational Biology Gene Expression Regulation, Neoplastic Antineoplastic Agents, Phytogenic Receptors, CXCR4 Humans Machine Learning Binding Sites Models, Molecular Protein Interaction Mapping Mouth Neoplasms High-Throughput Screening Assays Molecular Conformation
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Detection of Hard Exudates in Colour Fundus Images Using Fuzzy Support Vector Machine-Based Expert System.

Journal of digital imaging Dec 1, 2015
Diabetic retinopathy is a major cause of vision loss in diabetic patients. Currently, there is a need for making decisions using intelligent computer algorithms when screening a large volume of data. This paper presents an expert decision-making syst...
Photography Reproducibility of Results Sensitivity and Specificity ROC Curve Support Vector Machine Humans Color Fundus Oculi Diabetic Retinopathy Expert Systems Algorithms Image Interpretation, Computer-Assisted Pattern Recognition, Automated Exudates and Transudates
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