AIMC Topic:
ROC Curve

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Diagnosis of urinary tract infection based on artificial intelligence methods.

Computer methods and programs in biomedicine Oct 2, 2018
BACKGROUND AND OBJECTIVE: Urinary tract infection (UTI) is a common disease affecting the vast majority of people. UTI involves a simple infection caused by urinary tract inflammation as well as a complicated infection that may be caused by an inflam...
Humans Neural Networks, Computer Artificial Intelligence Adult Sensitivity and Specificity Male Middle Aged Diagnosis, Computer-Assisted Machine Learning Algorithms Female Aged Young Adult Decision Trees Urinary Tract Infections False Positive Reactions Adolescent Cystitis Child ROC Curve Decision Support Systems, Clinical Support Vector Machine
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Development of a deep residual learning algorithm to screen for glaucoma from fundus photography.

Scientific reports Oct 2, 2018
The Purpose of the study was to develop a deep residual learning algorithm to screen for glaucoma from fundus photography and measure its diagnostic performance compared to Residents in Ophthalmology. A training dataset consisted of 1,364 color fundu...
Humans Glaucoma Datasets as Topic Middle Aged Female Ophthalmoscopy Deep Learning Aged Photography ROC Curve Adult Fundus Oculi Male Image Interpretation, Computer-Assisted
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Determination of mammographic breast density using a deep convolutional neural network.

The British journal of radiology Oct 1, 2018
OBJECTIVE: High breast density is a risk factor for breast cancer. The aim of this study was to develop a deep convolutional neural network (dCNN) for the automatic classification of breast density based on the mammographic appearance of the tissue a...
Retrospective Studies Female Aged Adult Breast Neoplasms Mammography Middle Aged Observer Variation Switzerland Deep Learning Humans Precancerous Conditions Breast Cohort Studies Neural Networks, Computer Breast Density ROC Curve Image Processing, Computer-Assisted
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Machine learning for real-time prediction of complications in critical care: a retrospective study.

The Lancet. Respiratory medicine Sep 28, 2018
BACKGROUND: The large amount of clinical signals in intensive care units can easily overwhelm health-care personnel and can lead to treatment delays, suboptimal care, or clinical errors. The aim of this study was to apply deep machine learning method...
Postoperative Hemorrhage Male Cardiac Surgical Procedures Humans Middle Aged Outcome Assessment, Health Care Retrospective Studies Renal Insufficiency Deep Learning Intensive Care Units ROC Curve Female Predictive Value of Tests Aged
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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.
Risk Assessment ROC Curve Logistic Models Predictive Value of Tests Area Under Curve Acute Disease Humans Female Neural Networks, Computer L-Lactate Dehydrogenase Young Adult Machine Learning Oxyhemoglobins Adult Algorithms Pancreatitis Male Prognosis Middle Aged Acute Kidney Injury
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Artificial Intelligence Applied to Osteoporosis: A Performance Comparison of Machine Learning Algorithms in Predicting Fragility Fractures From MRI Data.

Journal of magnetic resonance imaging : JMRI Sep 25, 2018
BACKGROUND: A current challenge in osteoporosis is identifying patients at risk of bone fracture.
Osteoporotic Fractures ROC Curve Image Processing, Computer-Assisted Body Mass Index Magnetic Resonance Imaging Linear Models Reproducibility of Results Aged Machine Learning Cross-Sectional Studies Algorithms Middle Aged Prospective Studies Case-Control Studies Osteoporosis Humans Female
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Machine Learning for detection of viral sequences in human metagenomic datasets.

BMC bioinformatics Sep 24, 2018
BACKGROUND: Detection of highly divergent or yet unknown viruses from metagenomics sequencing datasets is a major bioinformatics challenge. When human samples are sequenced, a large proportion of assembled contigs are classified as "unknown", as conv...
Humans Neural Networks, Computer Machine Learning Algorithms ROC Curve Computational Biology Databases, Genetic Sequence Analysis, DNA Metagenomics Base Sequence Viruses
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A machine learning-based model for 1-year mortality prediction in patients admitted to an Intensive Care Unit with a diagnosis of sepsis.

Medicina intensiva Sep 20, 2018
INTRODUCTION: Sepsis is associated to a high mortality rate, and its severity must be evaluated quickly. The severity of illness scores used are intended to be applicable to all patient populations, and generally evaluate in-hospital mortality. Howev...
Aged Male Middle Aged Severity of Illness Index Sepsis Area Under Curve Forecasting Registries Retrospective Studies Humans Time Factors Critical Illness Machine Learning ROC Curve Intensive Care Units Algorithms Models, Statistical Female
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Predicting the risk of acute care readmissions among rehabilitation inpatients: A machine learning approach.

Journal of biomedical informatics Sep 18, 2018
INTRODUCTION: Readmission from inpatient rehabilitation facilities to acute care hospitals is a serious problem. This study aims to develop a predictive model based on machine learning algorithms to identify patients at high risk of readmission.
Preventive Medicine Logistic Models Support Vector Machine Longitudinal Studies Regression Analysis Inpatients Patient Readmission Risk North Carolina Humans Outpatients Rehabilitation Aged Sensitivity and Specificity Male Middle Aged ROC Curve Machine Learning Algorithms Retrospective Studies Female Hospitalization
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CNN as model observer in a liver lesion detection task for x-ray computed tomography: A phantom study.

Medical physics Sep 18, 2018
PURPOSE: The purpose of this study was the evaluation of anthropomorphic model observers trained with neural networks for the prediction of a human observer's performance.
Image Processing, Computer-Assisted Phantoms, Imaging Neural Networks, Computer Tomography, X-Ray Computed ROC Curve Liver Neoplasms
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