AIMC Topic: ROC Curve

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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 ...
Survival Analysis Vital Signs Heart Arrest Diagnostic Techniques and Procedures Intensive Care Units Risk Assessment Cohort Studies Time Factors ROC Curve Logistic Models Socioeconomic Factors Support Vector Machine Age Factors Models, Statistical Humans Neural Networks, Computer Machine Learning
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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 Risk Factors Obesity Humans Young Adult ROC Curve Algorithms Ovarian Neoplasms Adult Enzyme-Linked Immunosorbent Assay Bone Density Carcinoma, Ovarian Epithelial Sensitivity and Specificity Vitamin D 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...
Humans Sensitivity and Specificity Interleukin-8 Interleukin-6 Neonatal Sepsis Prospective Studies Female Infant, Newborn Male ROC Curve Enzyme-Linked Immunosorbent Assay Area Under Curve
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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...
Female Aged Aged, 80 and over Male Cognitive Dysfunction Humans Algorithms Databases, Factual Alzheimer Disease Image Interpretation, Computer-Assisted ROC Curve Magnetic Resonance Imaging Fuzzy Logic Brain Mapping
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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...
Polymerase Chain Reaction DNA, Neoplasm Case-Control Studies Feces ROC Curve Neoplasm Staging Sensitivity and Specificity Colorectal Neoplasms Biomarkers, Tumor Humans Male Female Colonoscopy Reproducibility of Results
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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 ...
Cell Line, Tumor ROC Curve Gene Regulatory Networks Protein Binding Computational Biology Gene Expression Regulation, Neoplastic Antineoplastic Agents, Phytogenic Receptors, CXCR4 Models, Molecular Mouth Neoplasms Humans High-Throughput Screening Assays Machine Learning Molecular Conformation Drug Discovery Binding Sites Protein Interaction Mapping
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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...
ROC Curve Support Vector Machine Color Fundus Oculi Expert Systems Image Interpretation, Computer-Assisted Humans Diabetic Retinopathy Pattern Recognition, Automated Algorithms Exudates and Transudates Reproducibility of Results Photography Sensitivity and Specificity
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Multimodal manifold-regularized transfer learning for MCI conversion prediction.

Brain imaging and behavior Dec 1, 2015
As the early stage of Alzheimer's disease (AD), mild cognitive impairment (MCI) has high chance to convert to AD. Effective prediction of such conversion from MCI to AD is of great importance for early diagnosis of AD and also for evaluating AD risk ...
ROC Curve Magnetic Resonance Imaging Multimodal Imaging Least-Squares Analysis Supervised Machine Learning Alzheimer Disease Positron-Emission Tomography Pattern Recognition, Automated Aged, 80 and over Middle Aged Disease Progression Diagnosis, Computer-Assisted Cognitive Dysfunction Databases, Factual Brain Prognosis Aged Humans
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Neural Network Analysis of Different Segmentation Strategies of Nerve Fiber Layer Assessment for Glaucoma Diagnosis.

Journal of glaucoma Dec 1, 2015
PURPOSE: To compare the diagnostic performance of different segmentations of the nerve fiber layer (NFL) thickness measurements using an artificial neural network and to define the optimal number of sectors with best diagnostic ability for glaucoma d...
Intraocular Pressure Male Middle Aged ROC Curve Tomography, Optical Coherence Glaucoma Female Aged Cross-Sectional Studies Nerve Fibers Retinal Ganglion Cells Humans Neural Networks, Computer
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