AIMC Topic: Sensitivity and Specificity

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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...
Aged Sensitivity and Specificity Male Middle Aged Image Processing, Computer-Assisted Humans Female Support Vector Machine Magnetic Resonance Imaging Parkinson Disease Postural Balance Gait Disorders, Neurologic
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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...
Hand Strength Muscle, Skeletal Electromyography Reference Values Pattern Recognition, Automated Muscle Contraction Fractals Amputation Stumps Reproducibility of Results Adult Sensitivity and Specificity Male Support Vector Machine Humans Algorithms Female
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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 Discriminant Analysis Nonlinear Dynamics Pattern Recognition, Automated Brain-Computer Interfaces Evoked Potentials, Motor Machine Learning Reproducibility of Results Oscillometry Imagination Algorithms Young Adult Computer Simulation Evoked Potentials, Somatosensory Adult Female Sensorimotor Cortex Sensitivity and Specificity Male
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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-...
United States Socioeconomic Factors Natural Language Processing Information Storage and Retrieval International Classification of Diseases United States Department of Veterans Affairs Aged Sensitivity and Specificity Male Middle Aged Liver Neoplasms Algorithms Databases, Factual Electronic Health Records Female Humans
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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 Vitamin D Risk Factors Humans Obesity Young Adult Ovarian Neoplasms Algorithms Adult Carcinoma, Ovarian Epithelial Bone Density Sensitivity and Specificity Neoplasms, Glandular and Epithelial Female 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 Prospective Studies Female Infant, Newborn Interleukin-8 Neonatal Sepsis Humans
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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...
Male Middle Aged ROC Curve Support Vector Machine Prostatic Neoplasms Aged, 80 and over Adult Sensitivity and Specificity Biomarkers, Tumor Prostate-Specific Antigen Biopsy Tumor Burden Humans Reproducibility of Results Aged
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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...
Cohort Studies Liver Cirrhosis Humans Natural Language Processing Algorithms International Classification of Diseases California Retrospective Studies Risk Sensitivity and Specificity
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Comparison of Knowledge-based Iterative Model Reconstruction and Hybrid Reconstruction Techniques for Liver CT Evaluation of Hypervascular Hepatocellular Carcinoma.

Journal of computer assisted tomography Jan 1, 2016
OBJECTIVE: The purpose of this work was to evaluate the image quality, lesion conspicuity, and dose reduction provided by knowledge-based iterative model reconstruction (IMR) in computed tomography (CT) of the liver compared with hybrid iterative rec...
Aged Adult Sensitivity and Specificity Male Middle Aged Computer Simulation Republic of Korea Female Reproducibility of Results Knowledge Bases Liver Neoplasms Humans Neovascularization, Pathologic Carcinoma, Hepatocellular Machine Learning Pattern Recognition, Automated Liver Algorithms Multidetector Computed Tomography Radiographic Image Interpretation, Computer-Assisted Radiographic Image Enhancement Models, Biological
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Discrimination of Active and Weakly Active Human BACE1 Inhibitors Using Self-Organizing Map and Support Vector Machine.

Combinatorial chemistry & high throughput screening Jan 1, 2016
β-secretase (BACE1) is an aspartyl protease, which is considered as a novel vital target in Alzheimer`s disease therapy. We collected a data set of 294 BACE1 inhibitors, and built six classification models to discriminate active and weakly active inh...
Aspartic Acid Endopeptidases Support Vector Machine Alzheimer Disease Humans Enzyme Inhibitors Sensitivity and Specificity Linear Models Drug Design Amyloid Precursor Protein Secretases
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