AIMC Topic: Sensitivity and Specificity

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Novel Screening Tool for Stroke Using Artificial Neural Network.

Stroke Apr 24, 2017
BACKGROUND AND PURPOSE: The timely diagnosis of stroke at the initial examination is extremely important given the disease morbidity and narrow time window for intervention. The goal of this study was to develop a supervised learning method to recogn...
Middle Aged Stroke Brain Ischemia Aged Sensitivity and Specificity Male Neural Networks, Computer Female Humans
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A multilevel-ROI-features-based machine learning method for detection of morphometric biomarkers in Parkinson's disease.

Neuroscience letters Apr 21, 2017
Machine learning methods have been widely used in recent years for detection of neuroimaging biomarkers in regions of interest (ROIs) and assisting diagnosis of neurodegenerative diseases. The innovation of this study is to use multilevel-ROI-feature...
Magnetic Resonance Imaging Parkinson Disease Brain Mapping Male Middle Aged Support Vector Machine Humans Machine Learning Algorithms Female Sensitivity and Specificity Biomarkers Brain
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Simultaneous determination of four amides in Saururus chinensis by matrix solid phase dispersion and high-performance liquid chromatography method.

Journal of food and drug analysis Apr 19, 2017
A rapid and simple analytical method was established for the determination of four amides (N-p-trans-coumaroyltyramine, aristolactam AⅡ, sauristolactam and aristolactam BⅡ) in Saururus chinensis by matrix solid phase dispersion (MSPD) and high-perfor...
Solid Phase Extraction Amides Reproducibility of Results Saururaceae Molecular Structure Sensitivity and Specificity Chromatography, High Pressure Liquid Plant Extracts
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Classification of High-Grade Glioma into Tumor and Nontumor Components Using Support Vector Machine.

AJNR. American journal of neuroradiology Apr 6, 2017
BACKGROUND AND PURPOSE: Current imaging assessment of high-grade brain tumors relies on the Response Assessment in Neuro-Oncology criteria, which measure gross volume of enhancing and nonenhancing lesions from conventional MRI sequences. These assess...
Magnetic Resonance Spectroscopy Brain Neoplasms Male Middle Aged Magnetic Resonance Imaging Neoplasm Grading Glioma Support Vector Machine Humans Female Adult Sensitivity and Specificity
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New model for prediction binary mixture of antihistamine decongestant using artificial neural networks and least squares support vector machine by spectrophotometry method.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Apr 5, 2017
In the present study, artificial neural networks (ANNs) and least squares support vector machines (LS-SVM) as intelligent methods based on absorption spectra in the range of 230-300nm have been used for determination of antihistamine decongestant con...
Neural Networks, Computer Support Vector Machine Least-Squares Analysis Linear Models Spectrophotometry Algorithms Reproducibility of Results Sensitivity and Specificity Histamine Antagonists Nasal Decongestants
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Exploration of machine learning techniques in predicting multiple sclerosis disease course.

PloS one Apr 5, 2017
OBJECTIVE: To explore the value of machine learning methods for predicting multiple sclerosis disease course.
Neuroimaging Machine Learning Brain Female Adult Humans Sensitivity and Specificity Magnetic Resonance Imaging Logistic Models Male Multiple Sclerosis Support Vector Machine Disease Progression
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Machine learning-based analysis of MR radiomics can help to improve the diagnostic performance of PI-RADS v2 in clinically relevant prostate cancer.

European radiology Apr 3, 2017
OBJECTIVE: To investigate whether machine learning-based analysis of MR radiomics can help improve the performance PI-RADS v2 in clinically relevant prostate cancer (PCa).
Aged Aged, 80 and over Sensitivity and Specificity Male Humans Magnetic Resonance Imaging Machine Learning Middle Aged Predictive Value of Tests Prostatic Neoplasms ROC Curve Radiology Information Systems Support Vector Machine
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Artificial Neural Networks in Image Processing for Early Detection of Breast Cancer.

Computational and mathematical methods in medicine Apr 3, 2017
Medical imaging techniques have widely been in use in the diagnosis and detection of breast cancer. The drawback of applying these techniques is the large time consumption in the manual diagnosis of each image pattern by a professional radiologist. A...
Humans Image Processing, Computer-Assisted Sensitivity and Specificity Neural Networks, Computer Breast Neoplasms Early Detection of Cancer Algorithms
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The attractor recurrent neural network based on fuzzy functions: An effective model for the classification of lung abnormalities.

Computers in biology and medicine Mar 23, 2017
The respiratory system dynamic is of high significance when it comes to the detection of lung abnormalities, which highlights the importance of presenting a reliable model for it. In this paper, we introduce a novel dynamic modelling method for the c...
Middle Aged Fuzzy Logic Respiratory Sounds Young Adult Signal Processing, Computer-Assisted Humans Adult Pulmonary Disease, Chronic Obstructive Neural Networks, Computer Sensitivity and Specificity
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Vector-model-supported approach in prostate plan optimization.

Medical dosimetry : official journal of the American Association of Medical Dosimetrists Mar 18, 2017
Lengthy time consumed in traditional manual plan optimization can limit the use of step-and-shoot intensity-modulated radiotherapy/volumetric-modulated radiotherapy (S&S IMRT/VMAT). A vector model base, retrieving similar radiotherapy cases, was deve...
Decision Support Systems, Clinical Support Vector Machine Prostatic Neoplasms Pattern Recognition, Automated Radiotherapy Dosage Models, Biological Radiotherapy Planning, Computer-Assisted Humans Reproducibility of Results Computer Simulation Radiometry Sensitivity and Specificity Male
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