AI Medical Compendium Topic:
Area Under Curve

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Brain tumor detection using statistical and machine learning method.

Computer methods and programs in biomedicine May 17, 2019
BACKGROUND AND OBJECTIVE: Brain tumor occurs because of anomalous development of cells. It is one of the major reasons of death in adults around the globe. Millions of deaths can be prevented through early detection of brain tumor. Earlier brain tumo...
Algorithms Brain Reproducibility of Results Brain Neoplasms ROC Curve Image Processing, Computer-Assisted Glioma Magnetic Resonance Imaging Models, Statistical Decision Trees Humans Machine Learning Area Under Curve Bayes Theorem Pattern Recognition, Automated Wavelet Analysis
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A machine-learning-based prediction model of fistula formation after interstitial brachytherapy for locally advanced gynecological malignancies.

Brachytherapy May 15, 2019
PURPOSE: External beam radiotherapy combined with interstitial brachytherapy is commonly used to treat patients with bulky, advanced gynecologic cancer. However, the high radiation dose needed to control the tumor may result in fistula development. T...
Humans Retrospective Studies Female Risk Factors Support Vector Machine Predictive Value of Tests Area Under Curve Genital Neoplasms, Female Brachytherapy Aged Aged, 80 and over Adult Middle Aged Models, Theoretical Vesicovaginal Fistula Rectovaginal Fistula
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A machine learning approach for predicting urine output after fluid administration.

Computer methods and programs in biomedicine May 13, 2019
BACKGROUND AND OBJECTIVE: To develop a machine learning model to predict urine output (UO) in sepsis patients after fluid resuscitation.
Critical Care Urination Resuscitation Risk Factors Machine Learning Aged Humans Sepsis Sensitivity and Specificity Algorithms Decision Support Systems, Clinical Male Intensive Care Units Kidney Function Tests Middle Aged Electronic Health Records Area Under Curve Female Fluid Therapy
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Automated summarisation of SDOCT volumes using deep learning: Transfer learning vs de novo trained networks.

PloS one May 13, 2019
Spectral-domain optical coherence tomography (SDOCT) is a non-invasive imaging modality that generates high-resolution volumetric images. This modality finds widespread usage in ophthalmology for the diagnosis and management of various ocular conditi...
Deep Learning Humans Neural Networks, Computer Image Processing, Computer-Assisted Algorithms Area Under Curve Reproducibility of Results Tomography, Optical Coherence
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Recognition of 3'-end L1, Alu, processed pseudogenes, and mRNA stem-loops in the human genome using sequence-based and structure-based machine-learning models.

Scientific reports May 10, 2019
The role of 3'-end stem-loops in retrotransposition was experimentally demonstrated for transposons of various species, where LINE-SINE retrotransposons share the same 3'-end sequences, containing a stem-loop. We have discovered that 62-68% of proces...
Pseudogenes RNA, Messenger Humans 3' Untranslated Regions Long Interspersed Nucleotide Elements Alu Elements Machine Learning Area Under Curve ROC Curve Genome, Human
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Detection of smoking status from retinal images; a Convolutional Neural Network study.

Scientific reports May 9, 2019
Cardiovascular diseases are directly linked to smoking habits, which has both physiological and anatomical effects on the systemic and retinal circulations, and these changes can be detected with fundus photographs. Here, we aimed to 1- design a Conv...
Middle Aged ROC Curve Area Under Curve Retina Smoking Databases, Factual Female Aged Adult Male Humans Diabetic Retinopathy Neural Networks, Computer
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Artificial intelligence using deep learning to screen for referable and vision-threatening diabetic retinopathy in Africa: a clinical validation study.

The Lancet. Digital health May 2, 2019
BACKGROUND: Radical measures are required to identify and reduce blindness due to diabetes to achieve the Sustainable Development Goals by 2030. Therefore, we evaluated the accuracy of an artificial intelligence (AI) model using deep learning in a po...
Humans Diabetic Retinopathy Neural Networks, Computer Artificial Intelligence Prospective Studies Mass Screening Female Adult Area Under Curve Sensitivity and Specificity Retina Male Photography Deep Learning Zambia
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A deep learning radiomics model for preoperative grading in meningioma.

European journal of radiology May 1, 2019
OBJECTIVES: To noninvasively differentiate meningioma grades by deep learning radiomics (DLR) model based on routine post-contrast MRI.
Meninges Area Under Curve Neoplasm Grading Preoperative Care Meningioma Meningeal Neoplasms Aged Young Adult Adult Sensitivity and Specificity Male Middle Aged Deep Learning Adolescent Cohort Studies Magnetic Resonance Imaging Algorithms Prognosis Retrospective Studies Female Reproducibility of Results Humans
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Automated semantic labeling of pediatric musculoskeletal radiographs using deep learning.

Pediatric radiology Apr 30, 2019
BACKGROUND: An automated method for identifying the anatomical region of an image independent of metadata labels could improve radiologist workflow (e.g., automated hanging protocols) and help facilitate the automated curation of large medical imagin...
Workflow Musculoskeletal Diseases Automation Semantics Child Neural Networks, Computer Humans ROC Curve Machine Learning Male Area Under Curve Databases, Factual Retrospective Studies Deep Learning Radiography Female Clinical Competence Radiologists Adolescent Child, Preschool
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Artificial Neural Network Analysis of Spontaneous Preterm Labor and Birth and Its Major Determinants.

Journal of Korean medical science Apr 29, 2019
BACKGROUND: Little research based on the artificial neural network (ANN) is done on preterm birth (spontaneous preterm labor and birth) and its major determinants. This study uses an ANN for analyzing preterm birth and its major determinants.
Placenta Humans Gestational Age Obstetric Labor, Premature Risk Factors Diabetes Mellitus Neural Networks, Computer Adult Body Mass Index ROC Curve Pregnancy Cervix Uteri Logistic Models Female Area Under Curve Hypertension Infant, Newborn Premature Birth
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