AIMC Topic: Area Under Curve

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A customizable deep learning model for nosocomial risk prediction from critical care notes with indirect supervision.

Journal of the American Medical Informatics Association : JAMIA Apr 1, 2020
OBJECTIVE: Reliable longitudinal risk prediction for hospitalized patients is needed to provide quality care. Our goal is to develop a generalizable model capable of leveraging clinical notes to predict healthcare-associated diseases 24-96 hours in a...
Area Under Curve Critical Care Anemia Pressure Ulcer Iatrogenic Disease Deep Learning ROC Curve Support Vector Machine Natural Language Processing Humans Retrospective Studies Acute Kidney Injury Electronic Health Records Risk Assessment
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Diagnosing Glaucoma With Spectral-Domain Optical Coherence Tomography Using Deep Learning Classifier.

Journal of glaucoma Apr 1, 2020
UNLABELLED: PRéCIS:: A spectral-domain optical coherence tomography (SD-OCT) based deep learning system detected glaucomatous structural change with high sensitivity and specificity. It outperformed the clinical diagnostic parameters in discriminatin...
Aged Nerve Fibers Optic Disk Adult Retinal Ganglion Cells Sensitivity and Specificity Visual Fields Intraocular Pressure Humans Male Glaucoma Middle Aged Female Deep Learning ROC Curve Area Under Curve Tomography, Optical Coherence
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Depression screening using mobile phone usage metadata: a machine learning approach.

Journal of the American Medical Informatics Association : JAMIA Apr 1, 2020
OBJECTIVE: Depression is currently the second most significant contributor to non-fatal disease burdens globally. While it is treatable, depression remains undiagnosed in many cases. As mobile phones have now become an integral part of daily life, th...
Humans Neural Networks, Computer Machine Learning Algorithms Adult Logistic Models Area Under Curve Telemedicine Depressive Disorder Cell Phone Use Sensitivity and Specificity Severity of Illness Index Depression Surveys and Questionnaires Mobile Applications
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Low-Dose Abdominal CT Using a Deep Learning-Based Denoising Algorithm: A Comparison with CT Reconstructed with Filtered Back Projection or Iterative Reconstruction Algorithm.

Korean journal of radiology Mar 1, 2020
OBJECTIVE: To compare the image quality of low-dose (LD) computed tomography (CT) obtained using a deep learning-based denoising algorithm (DLA) with LD CT images reconstructed with a filtered back projection (FBP) and advanced modeled iterative reco...
Male Middle Aged Deep Learning ROC Curve Abdomen Body Mass Index Area Under Curve Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Tomography, X-Ray Computed Female Aged Young Adult Adult Humans Signal-To-Noise Ratio
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A combined strategy of feature selection and machine learning to identify predictors of prediabetes.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2020
OBJECTIVE: To identify predictors of prediabetes using feature selection and machine learning on a nationally representative sample of the US population.
Prevalence Female ROC Curve Risk Factors Nutrition Surveys Adult Area Under Curve Models, Theoretical Male Humans Prediabetic State Socioeconomic Factors Middle Aged Machine Learning Algorithms
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A Deep Learning Approach in Rebubbling After Descemet's Membrane Endothelial Keratoplasty.

Eye & contact lens Mar 1, 2020
PURPOSE: To evaluate the efficacy of deep learning in judging the need for rebubbling after Descemet's endothelial membrane keratoplasty (DMEK).
Descemet Membrane Descemet Stripping Endothelial Keratoplasty Corneal Endothelial Cell Loss Fuchs' Endothelial Dystrophy Models, Theoretical Aged Visual Acuity Area Under Curve Humans Male Tomography, Optical Coherence Retrospective Studies Deep Learning Reoperation Female ROC Curve
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Using a Dual-Input Convolutional Neural Network for Automated Detection of Pediatric Supracondylar Fracture on Conventional Radiography.

Investigative radiology Feb 1, 2020
OBJECTIVES: This study aimed to develop a dual-input convolutional neural network (CNN)-based deep-learning algorithm that utilizes both anteroposterior (AP) and lateral elbow radiographs for the automated detection of pediatric supracondylar fractur...
Sensitivity and Specificity Deep Learning Child ROC Curve Fractures, Bone Humans Neural Networks, Computer Algorithms Retrospective Studies Reproducibility of Results Feasibility Studies Elbow Injuries Area Under Curve Radiography Elbow Radiographic Image Interpretation, Computer-Assisted
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Positive Predictive Value Surfaces as a Complementary Tool to Assess the Performance of Virtual Screening Methods.

Mini reviews in medicinal chemistry Jan 1, 2020
BACKGROUND: Since their introduction in the virtual screening field, Receiver Operating Characteristic (ROC) curve-derived metrics have been widely used for benchmarking of computational methods and algorithms intended for virtual screening applicati...
Quantitative Structure-Activity Relationship 4-Aminobutyrate Transaminase Trypanosoma ROC Curve Machine Learning Animals Area Under Curve Seizures Anticonvulsants Protozoan Proteins
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A Machine-Learning Approach Using PET-Based Radiomics to Predict the Histological Subtypes of Lung Cancer.

Clinical nuclear medicine Dec 1, 2019
PURPOSE: We sought to distinguish lung adenocarcinoma (ADC) from squamous cell carcinoma using a machine-learning algorithm with PET-based radiomic features.
Image Processing, Computer-Assisted Carcinoma, Squamous Cell Positron Emission Tomography Computed Tomography Lung Neoplasms Aged Humans Area Under Curve Male Machine Learning Bayes Theorem Middle Aged Retrospective Studies ROC Curve Female
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Development and Validation of a Deep Learning System to Detect Glaucomatous Optic Neuropathy Using Fundus Photographs.

JAMA ophthalmology Dec 1, 2019
IMPORTANCE: A deep learning system (DLS) that could automatically detect glaucomatous optic neuropathy (GON) with high sensitivity and specificity could expedite screening for GON.
Predictive Value of Tests Area Under Curve Fundus Oculi Optic Nerve Diseases Diagnostic Techniques, Ophthalmological Humans Cross-Sectional Studies False Positive Reactions Photography Male Databases, Factual Glaucoma, Open-Angle Deep Learning Female ROC Curve Sensitivity and Specificity
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