AIMC Topic: Sensitivity and Specificity

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An artificial neural network prediction model of congenital heart disease based on risk factors: A hospital-based case-control study.

Medicine Feb 1, 2017
An artificial neural network (ANN) model was developed to predict the risks of congenital heart disease (CHD) in pregnant women.This hospital-based case-control study involved 119 CHD cases and 239 controls all recruited from birth defect surveillanc...
Female Risk Factors Adult Sensitivity and Specificity Humans Neural Networks, Computer Pregnancy Health Status Maternal Exposure Heart Defects, Congenital Reproductive History Diet Case-Control Studies Logistic Models Socioeconomic Factors
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Effects of Implementing a Tree Model of Diagnosis into a Bayesian Diagnostic Inference System.

Studies in health technology and informatics Jan 1, 2017
To estimate a diagnostic probability similarly to experts using answers to interviews, we developed a system that fundamentally behaves as a Bayesian model. For predefined interviews, we defined the sensitivity and specificity related to one or more ...
Bayes Theorem Humans Probability Decision Support Techniques Sensitivity and Specificity
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Development of a Deep Learning Algorithm for Automatic Diagnosis of Diabetic Retinopathy.

Studies in health technology and informatics Jan 1, 2017
This paper mainly focuses on the deep learning application in classifying the stage of diabetic retinopathy and detecting the laterality of the eye using funduscopic images. Diabetic retinopathy is a chronic, progressive, sight-threatening disease of...
Neural Networks, Computer Machine Learning Algorithms Humans Sensitivity and Specificity Diabetic Retinopathy Automation
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B-Type Natriuretic Peptide as a Predictor of Short-Term Mortality in On-Pump Coronary Artery Bypass Grafting.

Brazilian journal of cardiovascular surgery Jan 1, 2017
OBJECTIVE: The present study refers to a determination of the preoperative B-type natriuretic peptide is a predictor of short-term all-cause mortality in patients undergoing on-pump coronary artery bypass graft surgeries.
Aged Survival Rate Sensitivity and Specificity Humans Extracorporeal Circulation Male Middle Aged Biomarkers Prospective Studies Natriuretic Peptide, Brain Brazil Female Preoperative Period ROC Curve Risk Factors Coronary Artery Bypass
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Influence of Spinal Manipulative Therapy Force Magnitude and Application Site on Spinal Tissue Loading: A Biomechanical Robotic Serial Dissection Study in Porcine Motion Segments.

Journal of manipulative and physiological therapeutics Jan 1, 2017
OBJECTIVE: In order to define the relation between spinal manipulative therapy (SMT) input parameters and the distribution of load within spinal tissues, the aim of this study was to determine the influence of force magnitude and application site whe...
Sensitivity and Specificity Biomechanical Phenomena Animals Swine Stress, Mechanical Analysis of Variance Weight-Bearing Robotics Manipulation, Spinal Dissection Lumbar Vertebrae Cadaver
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Comparison of machine-learning algorithms to build a predictive model for detecting undiagnosed diabetes - ELSA-Brasil: accuracy study.

Sao Paulo medical journal = Revista paulista de medicina Jan 1, 2017
CONTEXT AND OBJECTIVE:: Type 2 diabetes is a chronic disease associated with a wide range of serious health complications that have a major impact on overall health. The aims here were to develop and validate predictive models for detecting undiagnos...
Bayes Theorem Adult Feasibility Studies Sensitivity and Specificity Computer Simulation Supervised Machine Learning Humans Male Female Middle Aged Neural Networks, Computer Reproducibility of Results Algorithms Brazil Aged Diabetes Mellitus, Type 2 Logistic Models
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Gait features analysis using artificial neural networks - testing the footwear effect.

Acta of bioengineering and biomechanics Jan 1, 2017
PURPOSE: The aim of this paper is to provide the methods for automatic detection of the difference in gait features depending on a footwear.
Electromyography Knee Joint Gait Range of Motion, Articular Pattern Recognition, Automated Ankle Joint Adaptation, Physiological Female Reproducibility of Results Adult Sensitivity and Specificity Humans Neural Networks, Computer Algorithms Shoes
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Mutual information network-based support vector machine strategy identifies salivary biomarkers in gastric cancer.

Journal of B.U.ON. : official journal of the Balkan Union of Oncology Jan 1, 2017
PURPOSE: To determine the vital salivary transcriptomic biomarkers for the early detection of gastric cancer via comparing classification efficiency of multiple candidate genes.
Sensitivity and Specificity Biomarkers, Tumor Support Vector Machine Humans Saliva Stomach Neoplasms
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A Gene Selection Method for Microarray Data Based on Binary PSO Encoding Gene-to-Class Sensitivity Information.

IEEE/ACM transactions on computational biology and bioinformatics Jan 1, 2017
Traditional gene selection methods for microarray data mainly considered the features' relevance by evaluating their utility for achieving accurate predication or exploiting data variance and distribution, and the selected genes were usually poorly e...
Biomimetics Oligonucleotide Array Sequence Analysis Crowding Algorithms Computer Simulation Reproducibility of Results Sensitivity and Specificity Gene Expression Profiling Support Vector Machine Models, Statistical Models, Biological
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Stationary Wavelet Transform and AdaBoost with SVM Based Pathological Brain Detection in MRI Scanning.

CNS & neurological disorders drug targets Jan 1, 2017
This paper presents an automatic classification system for segregating pathological brain from normal brains in magnetic resonance imaging scanning. The proposed system employs contrast limited adaptive histogram equalization scheme to enhance the di...
Support Vector Machine Magnetic Resonance Imaging Models, Neurological Image Interpretation, Computer-Assisted Pattern Recognition, Automated Brain Diseases Wavelet Analysis Humans Brain Computer Simulation Sensitivity and Specificity
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