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Area Under Curve

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Using neural attention networks to detect adverse medical events from electronic health records.

Journal of biomedical informatics Oct 15, 2018
The detection of Adverse Medical Events (AMEs) plays an important role in disease management in ensuring efficient treatment delivery and quality improvement of health services. Recently, with the rapid development of hospital information systems, a ...
Hemorrhage Medical Informatics Myocardial Ischemia Myocardial Revascularization Hospital Information Systems Cardiovascular Diseases Hospitals Deep Learning China Area Under Curve Humans Neural Networks, Computer Algorithms Databases, Factual Electronic Health Records
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Validation of deep-learning-based triage and acuity score using a large national dataset.

PloS one Oct 15, 2018
AIM: Triage is important in identifying high-risk patients amongst many less urgent patients as emergency department (ED) overcrowding has become a national crisis recently. This study aims to validate that a Deep-learning-based Triage and Acuity Sco...
Emergency Service, Hospital Risk Emergency Medicine Cohort Studies Humans Retrospective Studies Adult Databases, Factual Male Hospital Mortality Republic of Korea Middle Aged ROC Curve Female Severity of Illness Index Triage Reproducibility of Results Deep Learning Area Under Curve Aged
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Using Deep Learning and Transfer Learning to Accurately Diagnose Early-Onset Glaucoma From Macular Optical Coherence Tomography Images.

American journal of ophthalmology Oct 12, 2018
PURPOSE: We sought to construct and evaluate a deep learning (DL) model to diagnose early glaucoma from spectral-domain optical coherence tomography (OCT) images.
Deep Learning ROC Curve Area Under Curve Tomography, Optical Coherence Datasets as Topic Adult Sensitivity and Specificity Intraocular Pressure Male Middle Aged Glaucoma, Open-Angle Gonioscopy Nerve Fibers Retinal Ganglion Cells Visual Fields Visual Field Tests Transfer, Psychology Humans Glaucoma Female Reproducibility of Results Aged
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Development and validation of a deep-learning algorithm for the detection of polyps during colonoscopy.

Nature biomedical engineering Oct 10, 2018
The detection and removal of precancerous polyps via colonoscopy is the gold standard for the prevention of colon cancer. However, the detection rate of adenomatous polyps can vary significantly among endoscopists. Here, we show that a machine-learni...
Image Interpretation, Computer-Assisted Precancerous Conditions Humans Deep Learning Software ROC Curve Algorithms Area Under Curve Databases, Factual Colonic Neoplasms Colonoscopy Colonic Polyps
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Explainable machine-learning predictions for the prevention of hypoxaemia during surgery.

Nature biomedical engineering Oct 10, 2018
Although anaesthesiologists strive to avoid hypoxemia during surgery, reliably predicting future intraoperative hypoxemia is not currently possible. Here, we report the development and testing of a machine-learning-based system that, in real time dur...
Hypoxia Surgical Procedures, Operative Anesthesiologists Male Middle Aged ROC Curve Area Under Curve Female Humans Anesthesia, General Risk Factors Machine Learning Aged Electronic Health Records Aged, 80 and over Adult
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A Robust AUC Maximization Framework With Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification.

IEEE transactions on neural networks and learning systems Oct 9, 2018
The positive-unlabeled (PU) classification is a common scenario in real-world applications such as healthcare, text classification, and bioinformatics, in which we only observe a few samples labeled as "positive" together with a large volume of "unla...
Humans Neural Networks, Computer Area Under Curve Sample Size Electroencephalography Seizures Surgical Wound Infection
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Accuracy of an artificial neural network for detecting a regional abnormality in myocardial perfusion SPECT.

Annals of nuclear medicine Oct 9, 2018
OBJECTIVES: The patient-based diagnosis with an artificial neural network (ANN) has shown potential utility for the detection of coronary artery disease; however, the region-based accuracy of the detected regions has not been fully evaluated. The aim...
ROC Curve Image Processing, Computer-Assisted Area Under Curve Tomography, Emission-Computed, Single-Photon Myocardial Perfusion Imaging Humans Technetium Tc 99m Sestamibi Neural Networks, Computer Female Aged Male Middle Aged
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3D Deep Learning from CT Scans Predicts Tumor Invasiveness of Subcentimeter Pulmonary Adenocarcinomas.

Cancer research Oct 2, 2018
: Identification of early-stage pulmonary adenocarcinomas before surgery, especially in cases of subcentimeter cancers, would be clinically important and could provide guidance to clinical decision making. In this study, we developed a deep learning ...
Young Adult Adult Male Middle Aged Diagnosis, Computer-Assisted Retrospective Studies Tomography, X-Ray Computed Female Aged Aged, 80 and over Adenocarcinoma Neoplasm Invasiveness Decision Making Area Under Curve Humans Mutation Deep Learning Neural Networks, Computer Adolescent Precision Medicine Imaging, Three-Dimensional Prognosis Image Processing, Computer-Assisted Lung Neoplasms
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PISTON: Predicting drug indications and side effects using topic modeling and natural language processing.

Journal of biomedical informatics Sep 27, 2018
The process of discovering novel drugs to treat diseases requires a long time and high cost. It is important to understand side effects of drugs as well as their therapeutic effects, because these can seriously damage the patients due to unexpected a...
Phenotype Electronic Health Records Systems Biology Drug Repositioning Natural Language Processing Area Under Curve Drug-Related Side Effects and Adverse Reactions Data Mining Probability Medical Informatics Humans Algorithms
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Artificial neural network algorithm model as powerful tool to predict acute lung injury following to severe acute pancreatitis.

Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.] Sep 26, 2018
OBJECTIVE: The aim of this study is to predict the risk of severe acute pancreatitis (SAP) associated with acute lung injury (ALI) by artificial neural networks (ANNs) model.
Middle Aged Risk Assessment Acute Kidney Injury Humans Area Under Curve ROC Curve Female Neural Networks, Computer Acute Disease Logistic Models Young Adult Machine Learning L-Lactate Dehydrogenase Predictive Value of Tests Adult Algorithms Oxyhemoglobins Prognosis Male Pancreatitis
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