AIMC Topic: Sensitivity and Specificity

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MRI-based prostate cancer detection with high-level representation and hierarchical classification.

Medical physics Mar 1, 2017
PURPOSE: Extracting the high-level feature representation by using deep neural networks for detection of prostate cancer, and then based on high-level feature representation constructing hierarchical classification to refine the detection results.
Humans Neural Networks, Computer Sensitivity and Specificity Prostate Image Interpretation, Computer-Assisted Datasets as Topic Male Magnetic Resonance Imaging Prostatic Neoplasms
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Comparative study between UHPLC-UV and UPLC-MS/MS methods for determination of alogliptin and metformin in their pharmaceutical combination.

Die Pharmazie Feb 1, 2017
A new UPLC-MS/MS method (method A), for simultaneous determination of alogliptin (ALN) and metformin (MET) in their recently approved pharmaceutical combination Kazano® tablets, was developed and compared to a new UHPLC-UV method (method B). Concerni...
Metformin Sensitivity and Specificity Tablets Piperidines Chromatography, High Pressure Liquid Hypoglycemic Agents Uracil Drug Combinations Tandem Mass Spectrometry Spectrometry, Mass, Electrospray Ionization
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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...
Reproductive History Health Status Maternal Exposure Heart Defects, Congenital Risk Factors Adult Sensitivity and Specificity Diet Case-Control Studies Logistic Models Socioeconomic Factors Humans Neural Networks, Computer Pregnancy Female
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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 ...
Probability Humans Decision Support Techniques Sensitivity and Specificity Bayes Theorem
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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 Sensitivity and Specificity Humans Automation Diabetic Retinopathy
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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.
Natriuretic Peptide, Brain Preoperative Period Coronary Artery Bypass Biomarkers Middle Aged Female Survival Rate Brazil Risk Factors Sensitivity and Specificity ROC Curve Aged Humans Male Extracorporeal Circulation Prospective Studies
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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...
Biomechanical Phenomena Animals Swine Robotics Sensitivity and Specificity Stress, Mechanical Analysis of Variance Weight-Bearing Dissection Manipulation, Spinal 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...
Humans Sensitivity and Specificity Female Brazil Male Reproducibility of Results Feasibility Studies Diabetes Mellitus, Type 2 Aged Middle Aged Supervised Machine Learning Logistic Models Neural Networks, Computer Adult Bayes Theorem Algorithms Computer Simulation
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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.
Humans Neural Networks, Computer Algorithms Female Pattern Recognition, Automated Ankle Joint Adaptation, Physiological Shoes Reproducibility of Results Electromyography Adult Knee Joint Sensitivity and Specificity Gait Range of Motion, Articular
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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.
Biomarkers, Tumor Support Vector Machine Saliva Humans Stomach Neoplasms Sensitivity and Specificity
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