AIMC Topic: ROC Curve

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Predicting pressure injury using nursing assessment phenotypes and machine learning methods.

Journal of the American Medical Informatics Association : JAMIA Mar 18, 2021
OBJECTIVE: Pressure injuries are common and serious complications for hospitalized patients. The pressure injury rate is an important patient safety metric and an indicator of the quality of nursing care. Timely and accurate prediction of pressure in...
Female Risk Factors Hospitalization Aged Aged, 80 and over Male Humans Machine Learning Databases, Factual Electronic Health Records Nursing Research Middle Aged Risk Assessment ROC Curve Logistic Models Pressure Ulcer
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Predicting outcomes in central venous catheter salvage in pediatric central line-associated bloodstream infection.

Journal of the American Medical Informatics Association : JAMIA Mar 18, 2021
OBJECTIVE: Central line-associated bloodstream infections (CLABSIs) are a common, costly, and hazardous healthcare-associated infection in children. In children in whom continued access is critical, salvage of infected central venous catheters (CVCs)...
Central Venous Catheters Cross Infection Recurrence Female Male Infant Sepsis Humans Adolescent Child, Preschool Machine Learning Child Anti-Infective Agents ROC Curve Prognosis Treatment Outcome Area Under Curve
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Applications of Artificial Intelligence for Retinopathy of Prematurity Screening.

Pediatrics Mar 1, 2021
OBJECTIVES: Childhood blindness from retinopathy of prematurity (ROP) is increasing as a result of improvements in neonatal care worldwide. We evaluate the effectiveness of artificial intelligence (AI)-based screening in an Indian ROP telemedicine pr...
Hospital Units Sensitivity and Specificity Male Severity of Illness Index ROC Curve India Oxygen Telemedicine Linear Models Gestational Age Retinopathy of Prematurity Humans Artificial Intelligence Retrospective Studies Female Infant, Newborn
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Key Principles of Clinical Validation, Device Approval, and Insurance Coverage Decisions of Artificial Intelligence.

Korean journal of radiology Mar 1, 2021
Artificial intelligence (AI) will likely affect various fields of medicine. This article aims to explain the fundamental principles of clinical validation, device approval, and insurance coverage decisions of AI algorithms for medical diagnosis and p...
ROC Curve Lung Neoplasms Decision Making Area Under Curve Device Approval Humans Artificial Intelligence Delivery of Health Care Case-Control Studies Insurance Coverage
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Development of a "meta-model" to address missing data, predict patient-specific cancer survival and provide a foundation for clinical decision support.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2021
OBJECTIVE: Like most real-world data, electronic health record (EHR)-derived data from oncology patients typically exhibits wide interpatient variability in terms of available data elements. This interpatient variability leads to missing data and can...
Prognosis Neoplasms ROC Curve Decision Support Systems, Clinical Models, Theoretical Humans Machine Learning Area Under Curve Survival Analysis
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FLANNEL (Focal Loss bAsed Neural Network EnsembLe) for COVID-19 detection.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2021
OBJECTIVE: The study sought to test the possibility of differentiating chest x-ray images of coronavirus disease 2019 (COVID-19) against other pneumonia and healthy patients using deep neural networks.
Algorithms Lung Humans ROC Curve Diagnosis, Differential Neural Networks, Computer Radiography, Thoracic COVID-19 Pneumonia, Viral
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Unenhanced CT texture analysis with machine learning for differentiating between nasopharyngeal cancer and nasopharyngeal malignant lymphoma.

Nagoya journal of medical science Feb 1, 2021
Differentiating between nasopharyngeal cancer and nasopharyngeal malignant lymphoma (ML) remains challenging on cross-sectional images. The aim of this study is to investigate the usefulness of texture features on unenhanced CT for differentiating be...
Area Under Curve Middle Aged Image Interpretation, Computer-Assisted Humans Positron Emission Tomography Computed Tomography Fluorodeoxyglucose F18 ROC Curve Biopsy Nasopharyngeal Neoplasms Female Carcinoma Support Vector Machine Aged Radiopharmaceuticals Lymphoma Adult Diagnosis, Differential Male
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Screening and identifying hepatobiliary diseases through deep learning using ocular images: a prospective, multicentre study.

The Lancet. Digital health Feb 1, 2021
BACKGROUND: Ocular changes are traditionally associated with only a few hepatobiliary diseases. These changes are non-specific and have a low detection rate, limiting their potential use as clinically independent diagnostic features. Therefore, we ai...
Eye Digestive System Diseases Slit Lamp Microscopy Sclera Conjunctiva Fundus Oculi Models, Biological Iris Photography China ROC Curve Prospective Studies Mass Screening Computer Simulation Liver Humans Adult Area Under Curve Algorithms Middle Aged Deep Learning
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Low Predictability of Readmissions and Death Using Machine Learning in Cirrhosis.

The American journal of gastroenterology Feb 1, 2021
INTRODUCTION: Readmission and death in cirrhosis are common, expensive, and difficult to predict. Our aim was to evaluate the abilities of multiple artificial intelligence (AI) techniques to predict clinical outcomes based on variables collected at a...
Humans Machine Learning beta-Lactams Anti-Bacterial Agents Adrenergic beta-Antagonists Female Clinical Decision Rules Reproducibility of Results End Stage Liver Disease Aged Rifaximin Ascites Gastrointestinal Agents Water-Electrolyte Imbalance Logistic Models Paracentesis Proton Pump Inhibitors Male Patient Readmission Liver Cirrhosis Mortality Middle Aged Infections Gastrointestinal Hemorrhage Support Vector Machine Lactulose Severity of Illness Index Hepatic Encephalopathy Kidney Diseases Cohort Studies Hydrothorax ROC Curve
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Early prediction of mortality risk among patients with severe COVID-19, using machine learning.

International journal of epidemiology Jan 23, 2021
BACKGROUND: Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 infection, has been spreading globally. We aimed to develop a clinical model to predict the outcome of patients with severe COVID-19 infection ...
Risk Assessment Hospitalization Humans Hospitals Aged Machine Learning Case-Control Studies Sensitivity and Specificity COVID-19 ROC Curve Male Female Patient Admission Middle Aged SARS-CoV-2
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