AIMC Topic: Predictive Value of Tests

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Detection of Pathological Voice Using Cepstrum Vectors: A Deep Learning Approach.

Journal of voice : official journal of the Voice Foundation Mar 19, 2018
OBJECTIVES: Computerized detection of voice disorders has attracted considerable academic and clinical interest in the hope of providing an effective screening method for voice diseases before endoscopic confirmation. This study proposes a deep-learn...
Signal Processing, Computer-Assisted Acoustics Sound Spectrography Speech Acoustics Vocal Cords Diagnosis, Computer-Assisted Deep Learning Pilot Projects Support Vector Machine Predictive Value of Tests Speech Production Measurement Voice Quality Dysphonia Humans Retrospective Studies Female Reproducibility of Results Aged Aged, 80 and over Young Adult Adult Male Middle Aged
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Deep Learning for Prediction of Obstructive Disease From Fast Myocardial Perfusion SPECT: A Multicenter Study.

JACC. Cardiovascular imaging Mar 14, 2018
OBJECTIVES: The study evaluated the automatic prediction of obstructive disease from myocardial perfusion imaging (MPI) by deep learning as compared with total perfusion deficit (TPD).
Aged Aged, 80 and over Male Middle Aged Deep Learning Predictive Value of Tests Humans Female Coronary Circulation Registries Myocardial Perfusion Imaging Radiopharmaceuticals Coronary Stenosis Image Interpretation, Computer-Assisted Technetium Tc 99m Sestamibi Organophosphorus Compounds Organotechnetium Compounds Tomography, Emission-Computed, Single-Photon
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Predicting Treatment Response to Intra-arterial Therapies for Hepatocellular Carcinoma with the Use of Supervised Machine Learning-An Artificial Intelligence Concept.

Journal of vascular and interventional radiology : JVIR Mar 14, 2018
PURPOSE: To use magnetic resonance (MR) imaging and clinical patient data to create an artificial intelligence (AI) framework for the prediction of therapeutic outcomes of transarterial chemoembolization by applying machine learning (ML) techniques.
Neoplasm Staging Doxorubicin Chemoembolization, Therapeutic Ethiodized Oil Carcinoma, Hepatocellular Treatment Outcome Contrast Media Magnetic Resonance Imaging Predictive Value of Tests Humans Adult Machine Learning Sensitivity and Specificity Retrospective Studies Male Female Middle Aged Aged Antineoplastic Agents Liver Neoplasms
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A new scheme for strain typing of methicillin-resistant Staphylococcus aureus on the basis of matrix-assisted laser desorption ionization time-of-flight mass spectrometry by using machine learning approach.

PloS one Mar 13, 2018
Methicillin-resistant Staphylococcus aureus (MRSA), one of the most important clinical pathogens, conducts an increasing number of morbidity and mortality in the world. Rapid and accurate strain typing of bacteria would facilitate epidemiological inv...
Humans Staphylococcal Infections Machine Learning Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Methicillin-Resistant Staphylococcus aureus Cluster Analysis Cost-Benefit Analysis Predictive Value of Tests Multilocus Sequence Typing Bacterial Typing Techniques
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Multichannel lung sound analysis for asthma detection.

Computer methods and programs in biomedicine Mar 9, 2018
BACKGROUND AND OBJECTIVE: Lung sound signals convey valuable information of the lung status. Auscultation is an effective technique to appreciate the condition of the respiratory system using lung sound signals. The prior works on asthma detection fr...
Respiratory Sounds Forced Expiratory Volume Signal Processing, Computer-Assisted Vital Capacity Normal Distribution Humans Auscultation Neural Networks, Computer Algorithms Female Young Adult Adult Asthma Male Middle Aged Lung Support Vector Machine Models, Statistical Predictive Value of Tests
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Knee menisci segmentation using convolutional neural networks: data from the Osteoarthritis Initiative.

Osteoarthritis and cartilage Mar 9, 2018
OBJECTIVE: To present a novel method for automated segmentation of knee menisci from MRIs. To evaluate quantitative meniscal biomarkers for osteoarthritis (OA) estimated thereof.
Humans Neural Networks, Computer Follow-Up Studies Magnetic Resonance Imaging Predictive Value of Tests Female Osteoarthritis, Knee Male Cartilage, Articular Middle Aged Menisci, Tibial Disease Progression Time Factors
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Predicting urinary tract infections in the emergency department with machine learning.

PloS one Mar 7, 2018
BACKGROUND: Urinary tract infection (UTI) is a common emergency department (ED) diagnosis with reported high diagnostic error rates. Because a urine culture, part of the gold standard for diagnosis of UTI, is usually not available for 24-48 hours aft...
False Positive Reactions Urinary Tract Infections Models, Biological Early Diagnosis False Negative Reactions Urine Humans Machine Learning Retrospective Studies Female Sensitivity and Specificity Male Middle Aged ROC Curve Predictive Value of Tests Area Under Curve Emergency Service, Hospital
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Prediction of rupture risk in anterior communicating artery aneurysms with a feed-forward artificial neural network.

European radiology Feb 23, 2018
OBJECTIVES: Anterior communicating artery (ACOM) aneurysms are the most common intracranial aneurysms, and predicting their rupture risk is challenging. We aimed to predict this risk using a two-layer feed-forward artificial neural network (ANN).
Middle Aged ROC Curve Age Factors Decision Making Predictive Value of Tests Models, Biological Computed Tomography Angiography Cerebral Angiography Aneurysm, Ruptured Intracranial Aneurysm Anterior Cerebral Artery Aged Aged, 80 and over Humans Young Adult Neural Networks, Computer Adult Female Male Risk Factors
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Predicting central line-associated bloodstream infections and mortality using supervised machine learning.

Journal of critical care Feb 21, 2018
PURPOSE: The purpose of this study was to compare machine learning techniques for predicting central line-associated bloodstream infection (CLABSI).
Simplified Acute Physiology Score Humans Logistic Models Databases, Factual Intensive Care Units Predictive Value of Tests Female Central Venous Catheters Male Catheter-Related Infections Middle Aged Supervised Machine Learning Risk Assessment Florida Hospital Mortality Bacteremia
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Using echo state networks for classification: A case study in Parkinson's disease diagnosis.

Artificial intelligence in medicine Feb 21, 2018
Despite having notable advantages over established machine learning methods for time series analysis, reservoir computing methods, such as echo state networks (ESNs), have yet to be widely used for practical data mining applications. In this paper, w...
Electromagnetic Phenomena Motor Activity Transducers Parkinson Disease Humans Predictive Value of Tests Neural Networks, Computer Equipment Design Machine Learning Signal Processing, Computer-Assisted Diagnosis, Computer-Assisted Activities of Daily Living Time Factors
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