AIMC Topic: Sensitivity and Specificity

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Automated detection of pulmonary nodules in PET/CT images: Ensemble false-positive reduction using a convolutional neural network technique.

Medical physics Jun 1, 2016
PURPOSE: Automated detection of solitary pulmonary nodules using positron emission tomography (PET) and computed tomography (CT) images shows good sensitivity; however, it is difficult to detect nodules in contact with normal organs, and additional e...
Humans Radiographic Image Interpretation, Computer-Assisted Whole Body Imaging Lung ROC Curve Neural Networks, Computer Lung Neoplasms Female Support Vector Machine Sensitivity and Specificity Positron Emission Tomography Computed Tomography Male
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Evaluation of a Machine-Learning Classifier for Keratoconus Detection Based on Scheimpflug Tomography.

Cornea Jun 1, 2016
PURPOSE: To evaluate the performance of a support vector machine algorithm that automatically and objectively identifies corneal patterns based on a combination of 22 parameters obtained from Pentacam measurements and to compare this method with othe...
Adolescent Keratoconus Corneal Topography Humans Machine Learning Algorithms Diagnostic Techniques, Ophthalmological Retrospective Studies Adult Corneal Pachymetry Female Sensitivity and Specificity Reproducibility of Results Male Young Adult Middle Aged
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Automatic Classification on Multi-Modal MRI Data for Diagnosis of the Postural Instability and Gait Difficulty Subtype of Parkinson's Disease.

Journal of Parkinson's disease May 11, 2016
BACKGROUND: Patients with the postural instability and gait difficulty subtype (PIGD) of Parkinson's disease (PD) are a refractory challenge in clinical practice. Despite previous attempts that have been made at studying subtype-specific brain altera...
Humans Female Aged Sensitivity and Specificity Magnetic Resonance Imaging Parkinson Disease Postural Balance Gait Disorders, Neurologic Male Middle Aged Image Processing, Computer-Assisted Support Vector Machine
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Fractal and twin SVM-based handgrip recognition for healthy subjects and trans-radial amputees using myoelectric signal.

Biomedizinische Technik. Biomedical engineering Feb 1, 2016
Identifying functional handgrip patterns using surface electromygram (sEMG) signal recorded from amputee residual muscle is required for controlling the myoelectric prosthetic hand. In this study, we have computed the signal fractal dimension (FD) an...
Reference Values Pattern Recognition, Automated Muscle Contraction Fractals Amputation Stumps Support Vector Machine Hand Strength Female Muscle, Skeletal Reproducibility of Results Electromyography Adult Humans Sensitivity and Specificity Algorithms Male
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Random forests in non-invasive sensorimotor rhythm brain-computer interfaces: a practical and convenient non-linear classifier.

Biomedizinische Technik. Biomedical engineering Feb 1, 2016
There is general agreement in the brain-computer interface (BCI) community that although non-linear classifiers can provide better results in some cases, linear classifiers are preferable. Particularly, as non-linear classifiers often involve a numbe...
Humans Machine Learning Algorithms Computer Simulation Female Reproducibility of Results Young Adult Adult Sensitivity and Specificity Sensorimotor Cortex Brain-Computer Interfaces Male Oscillometry Discriminant Analysis Evoked Potentials, Motor Nonlinear Dynamics Imagination Pattern Recognition, Automated Evoked Potentials, Somatosensory
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Validation of Case Finding Algorithms for Hepatocellular Cancer From Administrative Data and Electronic Health Records Using Natural Language Processing.

Medical care Feb 1, 2016
BACKGROUND: Accurate identification of hepatocellular cancer (HCC) cases from automated data is needed for efficient and valid quality improvement initiatives and research. We validated HCC International Classification of Diseases, 9th Revision (ICD-...
Natural Language Processing Information Storage and Retrieval International Classification of Diseases United States Department of Veterans Affairs Middle Aged Liver Neoplasms United States Socioeconomic Factors Humans Algorithms Databases, Factual Electronic Health Records Female Aged Sensitivity and Specificity Male
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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 Obesity Humans Risk Factors ROC Curve Algorithms Young Adult Ovarian Neoplasms Enzyme-Linked Immunosorbent Assay Bone Density Adult Carcinoma, Ovarian Epithelial Vitamin D Female Sensitivity and Specificity 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 Humans Male Interleukin-8 Interleukin-6 ROC Curve Prospective Studies Neonatal Sepsis Enzyme-Linked Immunosorbent Assay Female Area Under Curve 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...
Tumor Burden Support Vector Machine Prostatic Neoplasms Prostate-Specific Antigen Biopsy Reproducibility of Results Aged Aged, 80 and over Adult Sensitivity and Specificity Biomarkers, Tumor Male Middle Aged ROC Curve Humans
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Defining a Patient Population With Cirrhosis: An Automated Algorithm With Natural Language Processing.

Journal of clinical gastroenterology Jan 1, 2016
OBJECTIVES: The objective of this study was to use natural language processing (NLP) as a supplement to International Classification of Diseases, Ninth Revision (ICD-9) and laboratory values in an automated algorithm to better define and risk-stratif...
Liver Cirrhosis Natural Language Processing California International Classification of Diseases Risk Humans Algorithms Retrospective Studies Sensitivity and Specificity Cohort Studies
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