AIMC Topic: Area Under Curve

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A study of generalizability of recurrent neural network-based predictive models for heart failure onset risk using a large and heterogeneous EHR data set.

Journal of biomedical informatics Jun 15, 2018
Recently, recurrent neural networks (RNNs) have been applied in predicting disease onset risks with Electronic Health Record (EHR) data. While these models demonstrated promising results on relatively small data sets, the generalizability and transfe...
Middle Aged Case-Control Studies Deep Learning Logistic Models Area Under Curve Heart Failure Female Reproducibility of Results Aged Aged, 80 and over Male Medical Informatics Humans Neural Networks, Computer Algorithms Databases, Factual Computer Simulation Electronic Health Records
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Fetal health status prediction based on maternal clinical history using machine learning techniques.

Computer methods and programs in biomedicine Jun 14, 2018
BACKGROUND AND OBJECTIVE: Congenital anomalies are seen at 1-3% of the population, probabilities of which are tried to be found out primarily through double, triple and quad tests during pregnancy. Also, ultrasonographical evaluations of fetuses enha...
Humans Machine Learning Algorithms Pregnancy Female Reproducibility of Results Internet Support Vector Machine Telemedicine Ultrasonography, Prenatal Health Status Fetus Diagnosis, Computer-Assisted Regression Analysis Perception ROC Curve Congenital Abnormalities Decision Trees Area Under Curve Mobile Applications Bayes Theorem Logistic Models
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Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers.

Medical physics Jun 13, 2018
PURPOSE: Machine learning classification algorithms (classifiers) for prediction of treatment response are becoming more popular in radiotherapy literature. General Machine learning literature provides evidence in favor of some classifier families (r...
Prognosis Neoplasms Logistic Models Decision Trees Area Under Curve Chemoradiotherapy Humans Neural Networks, Computer Machine Learning Software
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Using machine-learning approaches to predict non-participation in a nationwide general health check-up scheme.

Computer methods and programs in biomedicine May 29, 2018
BACKGROUND: In the time since the launch of a nationwide general health check-up and instruction program in Japan in 2008, interest in the formulation of an effective and efficient strategy to improve the participation rate has been growing. The aim ...
Japan Normal Distribution Humans Machine Learning Algorithms ROC Curve Aged Databases, Factual Adult Logistic Models Retrospective Studies Sensitivity and Specificity Support Vector Machine Female Male Health Status Middle Aged Area Under Curve Patient Compliance
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Forewarning of hypotensive events using a Bayesian artificial neural network in neurocritical care.

Journal of clinical monitoring and computing May 24, 2018
Traumatically brain injured (TBI) patients are at risk from secondary insults. Arterial hypotension, critically low blood pressure, is one of the most dangerous secondary insults and is related to poor outcome in patients. The overall aim of this stu...
False Positive Reactions Humans Neural Networks, Computer Machine Learning Software Diagnosis, Computer-Assisted Pilot Projects Adolescent Aged, 80 and over Brain Injuries, Traumatic Young Adult Databases, Factual Brain Injuries Area Under Curve Adult Prospective Studies Sensitivity and Specificity Sample Size Intensive Care Units Male Bayes Theorem Female Signal Processing, Computer-Assisted Middle Aged Aged Hypotension Critical Care
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Development of machine learning models to predict inhibition of 3-dehydroquinate dehydratase.

Chemical biology & drug design May 18, 2018
In this study, we describe the development of new machine learning models to predict inhibition of the enzyme 3-dehydroquinate dehydratase (DHQD). This enzyme is the third step of the shikimate pathway and is responsible for the synthesis of chorisma...
Humans Machine Learning Molecular Docking Simulation ROC Curve Area Under Curve Static Electricity Binding Sites Protein Structure, Tertiary Hydro-Lyases Shikimic Acid
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Machine Learning for Outcome Prediction in Electroencephalograph (EEG)-Monitored Children in the Intensive Care Unit.

Journal of child neurology May 13, 2018
The aim of this study was to evaluate the performance of models predicting in-hospital mortality in critically ill children undergoing continuous electroencephalography (cEEG) in the intensive care unit (ICU). We evaluated the performance of machine ...
Diagnosis, Computer-Assisted Adolescent Child, Preschool Child Hospital Mortality Area Under Curve Infant, Newborn Electroencephalography Young Adult Epilepsy Sensitivity and Specificity Seizures Humans Male Critical Care Infant Machine Learning Neurophysiological Monitoring Prognosis Female
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A Deep Learning Approach for Targeted Contrast-Enhanced Ultrasound Based Prostate Cancer Detection.

IEEE/ACM transactions on computational biology and bioinformatics May 11, 2018
The important role of angiogenesis in cancer development has driven many researchers to investigate the prospects of noninvasive cancer diagnosis based on the technology of contrast-enhanced ultrasound (CEUS) imaging. This paper presents a deep learn...
Computational Biology Contrast Media Models, Statistical Area Under Curve Prostatic Neoplasms Video Recording Neoplasm Transplantation Reproducibility of Results Sensitivity and Specificity Male Deep Learning Ultrasonography Humans Image Processing, Computer-Assisted Neural Networks, Computer Algorithms
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Artificial intelligence improves estimation of tacrolimus area under the concentration over time curve in renal transplant recipients.

Transplant international : official journal of the European Society for Organ Transplantation May 11, 2018
Tacrolimus Humans Neural Networks, Computer Kidney Transplantation Immunosuppressive Agents Area Under Curve
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Maximization of the usage of coronary CTA derived plaque information using a machine learning based algorithm to improve risk stratification; insights from the CONFIRM registry.

Journal of cardiovascular computed tomography Apr 30, 2018
INTRODUCTION: Machine learning (ML) is a field in computer science that demonstrated to effectively integrate clinical and imaging data for the creation of prognostic scores. The current study investigated whether a ML score, incorporating only the 1...
Reproducibility of Results Coronary Vessels Area Under Curve Risk Assessment Humans Risk Factors Multidetector Computed Tomography Coronary Angiography Severity of Illness Index Aged Machine Learning Plaque, Atherosclerotic Radiographic Image Interpretation, Computer-Assisted Time Factors Algorithms Computed Tomography Angiography Male Registries Prognosis Coronary Stenosis ROC Curve Middle Aged Coronary Artery Disease Female Predictive Value of Tests Myocardial Infarction
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