AIMC Topic:
Predictive Value of Tests

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Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance images.

Proceedings of the National Academy of Sciences of the United States of America Nov 2, 2015
Noninvasive, radiological image-based detection and stratification of Gleason patterns can impact clinical outcomes, treatment selection, and the determination of disease status at diagnosis without subjecting patients to surgical biopsies. We presen...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Predictive Value of Tests Radiography Prostatic Neoplasms Humans Machine Learning Male
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A generalized procedure for analyzing sustained and dynamic vocal fold vibrations from laryngeal high-speed videos using phonovibrograms.

Artificial intelligence in medicine Oct 30, 2015
OBJECTIVE: This work presents a computer-based approach to analyze the two-dimensional vocal fold dynamics of endoscopic high-speed videos, and constitutes an extension and generalization of a previously proposed wavelet-based procedure. While most a...
Vocal Cords Voice Disorders Laryngoscopy Vibration Phonation Video Recording Image Interpretation, Computer-Assisted Pattern Recognition, Automated Wavelet Analysis Larynx Voice Quality Adult Biomechanical Phenomena Male Middle Aged Case-Control Studies Time Factors Support Vector Machine Predictive Value of Tests Principal Component Analysis Humans Female Reproducibility of Results Aged
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Feed-Forward Neural Network Soft-Sensor Modeling of Flotation Process Based on Particle Swarm Optimization and Gravitational Search Algorithm.

Computational intelligence and neuroscience Oct 25, 2015
For predicting the key technology indicators (concentrate grade and tailings recovery rate) of flotation process, a feed-forward neural network (FNN) based soft-sensor model optimized by the hybrid algorithm combining particle swarm optimization (PSO...
Search Engine Algorithms Computer Simulation Predictive Value of Tests Surface-Active Agents Humans Pattern Recognition, Automated Neural Networks, Computer
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Use of Artificial Intelligence and Machine Learning Algorithms with Gene Expression Profiling to Predict Recurrent Nonmuscle Invasive Urothelial Carcinoma of the Bladder.

The Journal of urology Oct 13, 2015
PURPOSE: Due to the high recurrence risk of nonmuscle invasive urothelial carcinoma it is crucial to distinguish patients at high risk from those with indolent disease. In this study we used a machine learning algorithm to identify the genes in patie...
Urinary Bladder Neoplasms Neoplasm Invasiveness Predictive Value of Tests Neoplasm Staging Biopsy Sensitivity and Specificity Male Risk Assessment Gene Expression Profiling Humans Carcinoma, Transitional Cell Artificial Intelligence Machine Learning Polymerase Chain Reaction Algorithms Prognosis Female Aged
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Information extraction from multi-institutional radiology reports.

Artificial intelligence in medicine Oct 3, 2015
OBJECTIVES: The radiology report is the most important source of clinical imaging information. It documents critical information about the patient's health and the radiologist's interpretation of medical findings. It also communicates information to ...
Databases, Factual Electronic Health Records Reproducibility of Results United States Models, Theoretical Humans Machine Learning Radiology Information Systems Medical Record Linkage Data Mining Observer Variation Predictive Value of Tests Information Storage and Retrieval Natural Language Processing Semantics Discriminant Analysis Pattern Recognition, Automated Radiographic Image Interpretation, Computer-Assisted
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Predictive Value of Neutrophil Gelatinase-Associated Lipocalin for Contrast-Induced Acute Kidney Injury After Cardiac Catheterization: A Meta-analysis.

The Canadian journal of cardiology Sep 30, 2015
BACKGROUND: Neutrophil gelatinase-associated lipocalin (NGAL) accumulates in cortical tubules in acute kidney injury (AKI) patients, with its levels associated with serum creatinine. However, the predictive value of NGAL level for contrast-induced ac...
Time Factors Contrast Media Predictive Value of Tests Humans Lipocalin-2 Biomarkers Acute Kidney Injury Cardiac Catheterization Sensitivity and Specificity
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Myocardial Fractional Flow Reserve Measurement Using Contrast Media as a First-Line Assessment of Coronary Lesions in Current Practice.

The Canadian journal of cardiology Sep 25, 2015
BACKGROUND: Fractional flow reserve (FFR) measurement requires adenosine injection. However, adenosine can induce conductive and rhythmic complications, or be contraindicated in some patients. Contrast-induced hyperemia could provide a simple first-l...
Coronary Angiography Risk Assessment Patient Selection Fractional Flow Reserve, Myocardial Humans Risk Factors Body Mass Index Adenosine Prospective Studies France Contrast Media Aged Female Triiodobenzoic Acids Sensitivity and Specificity Predictive Value of Tests Reproducibility of Results Coronary Stenosis Male Middle Aged
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The Large Scale Machine Learning in an Artificial Society: Prediction of the Ebola Outbreak in Beijing.

Computational intelligence and neuroscience Sep 20, 2015
Ebola virus disease (EVD) distinguishes its feature as high infectivity and mortality. Thus, it is urgent for governments to draw up emergency plans against Ebola. However, it is hard to predict the possible epidemic situations in practice. Luckily, ...
Models, Theoretical Predictive Value of Tests Beijing Hemorrhagic Fever, Ebola Humans Machine Learning Disease Outbreaks
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An Improved Sparse Representation over Learned Dictionary Method for Seizure Detection.

International journal of neural systems Sep 14, 2015
Automatic seizure detection has played an important role in the monitoring, diagnosis and treatment of epilepsy. In this paper, a patient specific method is proposed for seizure detection in the long-term intracranial electroencephalogram (EEG) recor...
Neural Networks, Computer Algorithms Sensitivity and Specificity Predictive Value of Tests Electroencephalography Seizures Humans
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Stress Testing of an Artificial Pancreas System With Pizza and Exercise Leads to Improvements in the System's Fuzzy Logic Controller.

Journal of diabetes science and technology Sep 14, 2015
BACKGROUND: Under controlled conditions, the Dose Safety artificial pancreas (AP) system controller, which utilizes "fuzzy logic" (FL) methodology to calculate and deliver appropriate insulin dosages based on changes in blood glucose, successfully ma...
Humans Algorithms Female Pancreas, Artificial Stress, Physiological Hypoglycemic Agents Dietary Carbohydrates Exercise Treatment Outcome Reproducibility of Results Dietary Fats Blood Glucose Fuzzy Logic Insulin Infusion Systems Young Adult Insulin Predictive Value of Tests Adult Time Factors Equipment Design Male Diabetes Mellitus, Type 1 Signal Processing, Computer-Assisted Materials Testing Blood Glucose Self-Monitoring Drug Dosage Calculations
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