AIMC Topic:
ROC Curve

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Development and Validation of a Machine Learning Algorithm After Primary Total Hip Arthroplasty: Applications to Length of Stay and Payment Models.

The Journal of arthroplasty Dec 27, 2018
BACKGROUND: Value-based payment programs in orthopedics, specifically primary total hip arthroplasty (THA), present opportunities to apply forecasting machine learning techniques to adjust payment models to a specific patient or population. The objec...
Inpatients Reproducibility of Results Arthroplasty, Replacement, Hip Comorbidity Humans Length of Stay Elective Surgical Procedures ROC Curve Machine Learning Bayes Theorem Algorithms Health Expenditures Databases, Factual
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Prediction of matrix metal proteinases-12 inhibitors by machine learning approaches.

Journal of biomolecular structure & dynamics Dec 24, 2018
Matrix metal proteinases-12 (MMP-12) is a hot pharmaceutical target on the treatment of many human diseases. There's a crying need for designing and finding new MMP-12 inhibitors. In this work, four machine learning approaches, support vector machine...
Machine Learning Support Vector Machine Molecular Structure Quantitative Structure-Activity Relationship Matrix Metalloproteinase Inhibitors Matrix Metalloproteinase 12 Algorithms Reproducibility of Results Drug Discovery ROC Curve
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Diagnosis of thyroid cancer using deep convolutional neural network models applied to sonographic images: a retrospective, multicohort, diagnostic study.

The Lancet. Oncology Dec 21, 2018
BACKGROUND: The incidence of thyroid cancer is rising steadily because of overdiagnosis and overtreatment conferred by widespread use of sensitive imaging techniques for screening. This overall incidence growth is especially driven by increased diagn...
Humans Neural Networks, Computer ROC Curve Area Under Curve Incidence Sensitivity and Specificity Cohort Studies Male Databases, Factual Thyroid Neoplasms Middle Aged Retrospective Studies Ultrasonography Risk Assessment Female China Adult
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From Machine to Machine: An OCT-Trained Deep Learning Algorithm for Objective Quantification of Glaucomatous Damage in Fundus Photographs.

Ophthalmology Dec 20, 2018
PURPOSE: Previous approaches using deep learning (DL) algorithms to classify glaucomatous damage on fundus photographs have been limited by the requirement for human labeling of a reference training set. We propose a new approach using quantitative s...
Female Aged Aged, 80 and over Cross-Sectional Studies Middle Aged Deep Learning ROC Curve Intraocular Pressure Male Humans Algorithms Optic Nerve Diseases Photography Glaucoma, Open-Angle Tonometry, Ocular Optic Disk Gonioscopy Visual Acuity Retinal Ganglion Cells Tomography, Optical Coherence Visual Fields Fundus Oculi Visual Field Tests Nerve Fibers
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Radiomics-Based Intracranial Thrombus Features on CT and CTA Predict Recanalization with Intravenous Alteplase in Patients with Acute Ischemic Stroke.

AJNR. American journal of neuroradiology Dec 20, 2018
BACKGROUND AND PURPOSE: Thrombus characteristics identified on non-contrast CT (NCCT) are potentially associated with recanalization with intravenous (IV) alteplase in patients with acute ischemic stroke (AIS). Our aim was to determine the best radio...
Treatment Outcome Male Support Vector Machine Middle Aged Stroke Image Interpretation, Computer-Assisted Case-Control Studies Tissue Plasminogen Activator Neuroimaging ROC Curve Computed Tomography Angiography Intracranial Thrombosis Tomography, X-Ray Computed Humans Female Aged
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Automated detection of erythema migrans and other confounding skin lesions via deep learning.

Computers in biology and medicine Dec 18, 2018
Lyme disease can lead to neurological, cardiac, and rheumatologic complications when untreated. Timely recognition of the erythema migrans rash of acute Lyme disease by patients and clinicians is crucial to early diagnosis and treatment. Our objectiv...
Skin Erythema Chronicum Migrans Female Middle Aged Humans Adult Deep Learning Male ROC Curve Image Processing, Computer-Assisted
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Quantitative ultrasound and machine learning for assessment of steatohepatitis in a rat model.

European radiology Dec 17, 2018
OBJECTIVES: To develop a machine learning model based on quantitative ultrasound (QUS) parameters to improve classification of steatohepatitis with shear wave elastography in rats by using histopathology scoring as the reference standard.
Non-alcoholic Fatty Liver Disease Rats Rats, Sprague-Dawley Disease Models, Animal Liver Machine Learning Animals Male Ultrasonography ROC Curve
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Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy.

Ophthalmology Dec 13, 2018
PURPOSE: To understand the impact of deep learning diabetic retinopathy (DR) algorithms on physician readers in computer-assisted settings.
Humans Diabetic Retinopathy Algorithms Diagnosis, Computer-Assisted Deep Learning ROC Curve Reference Standards Photography Female Reproducibility of Results Sensitivity and Specificity Male Ophthalmologists
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Diagnosis using deep-learning artificial intelligence based on the endocytoscopic observation of the esophagus.

Esophagus : official journal of the Japan Esophageal Society Dec 13, 2018
BACKGROUND AND AIMS: The endocytoscopic system (ECS) helps in virtual realization of histology and can aid in confirming histological diagnosis in vivo. We propose replacing biopsy-based histology for esophageal squamous cell carcinoma (ESCC) by usin...
Gastroesophageal Reflux Sensitivity and Specificity Humans Esophageal Squamous Cell Carcinoma Algorithms Deep Learning Esophagitis Retrospective Studies ROC Curve Esophagoscopy Esophageal Neoplasms
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A signature-based machine learning model for distinguishing bipolar disorder and borderline personality disorder.

Translational psychiatry Dec 13, 2018
Mobile technologies offer new opportunities for prospective, high resolution monitoring of long-term health conditions. The opportunities seem of particular promise in psychiatry where diagnoses often rely on retrospective and subjective recall of mo...
Mobile Applications Self Report Affect Borderline Personality Disorder Male Humans Prospective Studies Bipolar Disorder Machine Learning Female ROC Curve Adult Smartphone
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