AI Medical Compendium Topic:
Area Under Curve

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Preoperative prediction of cavernous sinus invasion by pituitary adenomas using a radiomics method based on magnetic resonance images.

European radiology Sep 25, 2018
OBJECTIVES: To predict cavernous sinus (CS) invasion by pituitary adenomas (PAs) pre-operatively using a radiomics method based on contrast-enhanced T1 (CE-T1) and T2-weighted magnetic resonance (MR) imaging.
Humans Retrospective Studies Female Neoplasm Invasiveness Middle Aged Pituitary Neoplasms Risk Factors Nomograms Adenoma Aged Support Vector Machine Area Under Curve Adult Contrast Media Cavernous Sinus Male Magnetic Resonance Imaging
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A machine learning-based model for 1-year mortality prediction in patients admitted to an Intensive Care Unit with a diagnosis of sepsis.

Medicina intensiva Sep 20, 2018
INTRODUCTION: Sepsis is associated to a high mortality rate, and its severity must be evaluated quickly. The severity of illness scores used are intended to be applicable to all patient populations, and generally evaluate in-hospital mortality. Howev...
ROC Curve Models, Statistical Area Under Curve Registries Male Humans Middle Aged Machine Learning Critical Illness Severity of Illness Index Algorithms Intensive Care Units Sepsis Forecasting Female Time Factors Retrospective Studies Aged
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Machine learning improves classification of preclinical models of pancreatic cancer with chemical exchange saturation transfer MRI.

Magnetic resonance in medicine Sep 17, 2018
PURPOSE: We sought to assess whether machine learning-based classification approaches can improve the classification of pancreatic tumor models relative to more simplistic analysis methods, using T relaxation, CEST, and DCE MRI.
Area Under Curve Hypoxia Image Interpretation, Computer-Assisted Mice, SCID Image Enhancement Normal Distribution Image Processing, Computer-Assisted Mice Magnetic Resonance Imaging Pancreatic Neoplasms Principal Component Analysis Reproducibility of Results Sensitivity and Specificity Animals Cell Line, Tumor Humans Machine Learning Algorithms Female
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A New Approach for Advertising CTR Prediction Based on Deep Neural Network via Attention Mechanism.

Computational and mathematical methods in medicine Sep 13, 2018
Click-through rate prediction is critical in Internet advertising and affects web publisher's profits and advertiser's payment. The traditional method of obtaining features using feature extraction did not consider the sparseness of advertising data ...
Informatics Advertising Reproducibility of Results Humans Models, Statistical Neural Networks, Computer Area Under Curve Machine Learning Internet Algorithms Attention
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Identifying health information technology related safety event reports from patient safety event report databases.

Journal of biomedical informatics Sep 10, 2018
OBJECTIVE: The objective of this paper was to identify health information technology (HIT) related events from patient safety event (PSE) report free-text descriptions. A difference-based scoring approach was used to prioritize and select model featu...
Data Collection Research Report Medical Informatics Adverse Drug Reaction Reporting Systems Pennsylvania Models, Statistical Regression Analysis Area Under Curve Data Mining Humans Algorithms Patient Safety Databases, Factual Support Vector Machine
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Machine learning approaches in GIS-based ecological modeling of the sand fly Phlebotomus papatasi, a vector of zoonotic cutaneous leishmaniasis in Golestan province, Iran.

Acta tropica Sep 7, 2018
The distribution and abundance of Phlebotomus papatasi, the primary vector of zoonotic cutaneous leishmaniasis in most semi-/arid countries, is a major public health challenge. This study compares several approaches to model the spatial distribution ...
Leishmaniasis, Cutaneous Area Under Curve Iran Environment Insect Vectors Machine Learning Animals Ecosystem Geographic Information Systems Phlebotomus
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Multiparametric ultrasomics of significant liver fibrosis: A machine learning-based analysis.

European radiology Sep 3, 2018
OBJECTIVE: To assess significant liver fibrosis by multiparametric ultrasomics data using machine learning.
Hepatitis B, Chronic Algorithms Decision Support Techniques Male Prospective Studies Middle Aged Female Ultrasonography Logistic Models Adult ROC Curve Liver Cirrhosis Humans Support Vector Machine Neural Networks, Computer Decision Trees Machine Learning Area Under Curve
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Performance of the deep convolutional neural network based magnetic resonance image scoring algorithm for differentiating between tuberculous and pyogenic spondylitis.

Scientific reports Sep 3, 2018
The purpose of this study was to evaluate the performance of the deep convolutional neural network (DCNN) in differentiating between tuberculous and pyogenic spondylitis on magnetic resonance (MR) imaging, compared to the performance of three skilled...
Retrospective Studies Female Aged Adult Male Humans Neural Networks, Computer Algorithms Spine Supervised Machine Learning Image Interpretation, Computer-Assisted Middle Aged Spondylitis ROC Curve Tuberculosis, Osteoarticular Magnetic Resonance Imaging Diagnosis, Differential Area Under Curve
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Methodological variations in lagged regression for detecting physiologic drug effects in EHR data.

Journal of biomedical informatics Aug 30, 2018
We studied how lagged linear regression can be used to detect the physiologic effects of drugs from data in the electronic health record (EHR). We systematically examined the effect of methodological variations ((i) time series construction, (ii) tem...
Time Factors ROC Curve Regression Analysis Area Under Curve Pharmaceutical Preparations Machine Learning Databases, Factual Drug Therapy Humans Electronic Health Records Data Collection Reproducibility of Results Academic Medical Centers Linear Models New York City
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An Efficient Feature Selection Strategy Based on Multiple Support Vector Machine Technology with Gene Expression Data.

BioMed research international Aug 30, 2018
The application of gene expression data to the diagnosis and classification of cancer has become a hot issue in the field of cancer classification. Gene expression data usually contains a large number of tumor-free data and has the characteristics of...
Humans Gene Expression Profiling Support Vector Machine Algorithms Area Under Curve Gene Expression
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