AIMC Topic:
Predictive Value of Tests

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Radiology report annotation using intelligent word embeddings: Applied to multi-institutional chest CT cohort.

Journal of biomedical informatics Nov 23, 2017
We proposed an unsupervised hybrid method - Intelligent Word Embedding (IWE) that combines neural embedding method with a semantic dictionary mapping technique for creating a dense vector representation of unstructured radiology reports. We applied I...
Humans Radiographic Image Interpretation, Computer-Assisted Pulmonary Embolism Semantics Radiography, Thoracic Neural Networks, Computer Machine Learning Tomography, X-Ray Computed Predictive Value of Tests Natural Language Processing
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Bladder contractility index in posterior urethral valve: A new marker for early prediction of progression to renal failure.

Journal of pediatric urology Nov 22, 2017
INTRODUCTION: Posterior urethral valve (PUV) is the most common cause of pediatric end stage renal disease (ESRD), imposing a major health burden on medical community caregivers and adversely affecting the quality of life of patients. Chronic kidney ...
Child, Preschool Urethral Stricture Child Urinary Bladder Male Follow-Up Studies Urinary Bladder Neck Obstruction ROC Curve Humans Risk Assessment Urodynamics Predictive Value of Tests Databases, Factual India Disease Progression Vesico-Ureteral Reflux Kidney Failure, Chronic Renal Insufficiency, Chronic Biomarkers Cohort Studies Proportional Hazards Models Retrospective Studies Time Factors Muscle Contraction Female
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Residual Convolutional Neural Network for the Determination of Status in Low- and High-Grade Gliomas from MR Imaging.

Clinical cancer research : an official journal of the American Association for Cancer Research Nov 22, 2017
Isocitrate dehydrogenase () mutations in glioma patients confer longer survival and may guide treatment decision making. We aimed to predict the status of gliomas from MR imaging by applying a residual convolutional neural network to preoperative r...
Aged Aged, 80 and over Young Adult Adult Brain Neoplasms Humans Neural Networks, Computer Brain Retrospective Studies Female Predictive Value of Tests Male Neoplasm Grading Datasets as Topic Middle Aged Mutation Preoperative Period Image Processing, Computer-Assisted Isocitrate Dehydrogenase Glioma Magnetic Resonance Imaging
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An EEG-based functional connectivity measure for automatic detection of alcohol use disorder.

Artificial intelligence in medicine Nov 21, 2017
BACKGROUND: The abnormal alcohol consumption could cause toxicity and could alter the human brain's structure and function, termed as alcohol used disorder (AUD). Unfortunately, the conventional screening methods for AUD patients are subjective and m...
Humans Logistic Models Support Vector Machine Male Predictive Value of Tests Electroencephalography Middle Aged Area Under Curve Brain Signal Processing, Computer-Assisted Case-Control Studies Bayes Theorem Female Automation Diagnosis, Computer-Assisted Reproducibility of Results Alcoholism ROC Curve Aged Brain Waves Adult
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Anti-aging factor, serum alpha-Klotho, as a marker of acute physiological stress, and a predictor of ICU mortality, in patients with septic shock.

Journal of critical care Nov 16, 2017
PURPOSE: Genetic deletions decreasing serum alpha-Klotho (alpha-KL) have been associated with rapid aging, multi-organ failure and increased mortality in experimental sepsis. We hypothesized that lower alpha-KL obtained at the onset of septic shock c...
Humans Prospective Studies Biomarkers Prognosis Intensive Care Units Female Shock, Septic Aged Klotho Proteins Male Glucuronidase Middle Aged Predictive Value of Tests Hospital Mortality Stress, Physiological
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A happiness degree predictor using the conceptual data structure for deep learning architectures.

Computer methods and programs in biomedicine Nov 13, 2017
BACKGROUND AND OBJECTIVE: Happiness is a universal fundamental human goal. Since the emergence of Positive Psychology, a major focus in psychological research has been to study the role of certain factors in the prediction of happiness. The conventio...
Multivariate Analysis Adaptation, Psychological Models, Psychological Happiness Psychometrics Stress, Psychological Emotions Predictive Value of Tests Medical Informatics Humans Software Algorithms Female Cross-Sectional Studies Male Deep Learning Social Support Surveys and Questionnaires
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Real-time differentiation of adenomatous and hyperplastic diminutive colorectal polyps during analysis of unaltered videos of standard colonoscopy using a deep learning model.

Gut Oct 24, 2017
BACKGROUND: In general, academic but not community endoscopists have demonstrated adequate endoscopic differentiation accuracy to make the 'resect and discard' paradigm for diminutive colorectal polyps workable. Computer analysis of video could poten...
Humans Sensitivity and Specificity Colonoscopy Deep Learning Clinical Competence Diagnosis, Differential Predictive Value of Tests Colonic Polyps Video Recording Adenomatous Polyps Narrow Band Imaging
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Machine Learning for Predicting Patient Wait Times and Appointment Delays.

Journal of the American College of Radiology : JACR Oct 24, 2017
Being able to accurately predict waiting times and scheduled appointment delays can increase patient satisfaction and enable staff members to more accurately assess and respond to patient flow. In this work, the authors studied the applicability of m...
Diagnostic Imaging Workflow Waiting Lists Patient Satisfaction Radiology Information Systems Humans Machine Learning Algorithms Retrospective Studies Predictive Value of Tests
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Predictive Coding for Dynamic Visual Processing: Development of Functional Hierarchy in a Multiple Spatiotemporal Scales RNN Model.

Neural computation Oct 24, 2017
This letter proposes a novel predictive coding type neural network model, the predictive multiple spatiotemporal scales recurrent neural network (P-MSTRNN). The P-MSTRNN learns to predict visually perceived human whole-body cyclic movement patterns b...
Visual Pathways Humans Predictive Value of Tests Neural Networks, Computer Nonlinear Dynamics Algorithms Memory Learning Movement Visual Perception
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Prognostic Value of Combined Clinical and Myocardial Perfusion Imaging Data Using Machine Learning.

JACC. Cardiovascular imaging Oct 18, 2017
OBJECTIVES: This study evaluated the added predictive value of combining clinical information and myocardial perfusion single-photon emission computed tomography (SPECT) imaging (MPI) data using machine learning (ML) to predict major adverse cardiac ...
Myocardial Perfusion Imaging Health Status Predictive Value of Tests Exercise Test Tomography, Emission-Computed, Single-Photon Coronary Circulation Humans Machine Learning Prognosis Cardiovascular Diseases Female Middle Aged Reproducibility of Results Risk Assessment Risk Factors Hemodynamics Aged Time Factors Aged, 80 and over Male
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