AIMC Topic: ROC Curve

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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...
Female Aged Adult Breast Neoplasms Middle Aged Humans Neural Networks, Computer Retrospective Studies Switzerland Breast Observer Variation Precancerous Conditions Breast Density Deep Learning Cohort Studies ROC Curve Image Processing, Computer-Assisted Mammography
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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...
ROC Curve Predictive Value of Tests Postoperative Hemorrhage Cardiac Surgical Procedures Outcome Assessment, Health Care Female Aged Male Middle Aged Humans Deep Learning Renal Insufficiency Retrospective Studies Intensive Care Units
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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.
Prognosis Pancreatitis Acute Kidney Injury Female Young Adult Adult Humans Predictive Value of Tests Neural Networks, Computer Area Under Curve Machine Learning Acute Disease Algorithms L-Lactate Dehydrogenase Male Oxyhemoglobins Middle Aged Risk Assessment ROC Curve Logistic Models
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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.
Humans Magnetic Resonance Imaging Osteoporosis Machine Learning Middle Aged Linear Models Algorithms Female Case-Control Studies Osteoporotic Fractures Prospective Studies Reproducibility of Results Aged ROC Curve Cross-Sectional Studies Image Processing, Computer-Assisted Body Mass Index
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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...
Machine Learning Algorithms Humans Sequence Analysis, DNA ROC Curve Neural Networks, Computer Metagenomics Computational Biology Databases, Genetic 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...
Severity of Illness Index Sepsis Time Factors ROC Curve Models, Statistical Area Under Curve Registries Intensive Care Units Female Aged Male Middle Aged Machine Learning Algorithms Forecasting Retrospective Studies Critical Illness Humans
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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.
Male Middle Aged ROC Curve Logistic Models Support Vector Machine Retrospective Studies Female Hospitalization Aged Sensitivity and Specificity North Carolina Outpatients Rehabilitation Preventive Medicine Longitudinal Studies Regression Analysis Inpatients Patient Readmission Risk Humans Machine Learning Algorithms
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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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Machine learning based on multi-parametric magnetic resonance imaging to differentiate glioblastoma multiforme from primary cerebral nervous system lymphoma.

European journal of radiology Sep 14, 2018
PURPOSE: To evaluate the performance of a machine learning method based on texture features in multi-parametric magnetic resonance imaging (MRI) to differentiate a glioblastoma multiforme (GBM) from a primary cerebral nervous system lymphoma (PCNSL).
ROC Curve Aged Glioblastoma Humans Logistic Models Adult Image Enhancement Brain Neoplasms Machine Learning Lymphoma Male Brain Magnetic Resonance Imaging Middle Aged Retrospective Studies Diagnosis, Differential Female
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Performance and clinical impact of machine learning based lung nodule detection using vessel suppression in melanoma patients.

Clinical imaging Sep 11, 2018
PURPOSE: To evaluate performance and the clinical impact of a novel machine learning based vessel-suppressing computer-aided detection (CAD) software in chest computed tomography (CT) of patients with malignant melanoma.
Humans Diagnosis, Computer-Assisted Aged ROC Curve Aged, 80 and over Multidetector Computed Tomography Lung Neoplasms Adult Machine Learning Melanoma, Cutaneous Malignant Male Retrospective Studies Neoplasm Metastasis Middle Aged Female Melanoma Skin Neoplasms
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