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ROC Curve

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Predicting Survival After Extracorporeal Membrane Oxygenation by Using Machine Learning.

The Annals of thoracic surgery May 23, 2020
BACKGROUND: Venoarterial (VA) extracorporeal membrane oxygenation (ECMO) undoubtedly saves many lives, but it is associated with a high degree of patient morbidity, mortality, and resource use. This study aimed to develop a machine learning algorithm...
New York Shock, Cardiogenic Hospital Mortality ROC Curve Follow-Up Studies Extracorporeal Membrane Oxygenation Machine Learning Prognosis Retrospective Studies Female Aged Survival Rate Male Middle Aged Humans
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Deep Learning Automated Detection of Reticular Pseudodrusen from Fundus Autofluorescence Images or Color Fundus Photographs in AREDS2.

Ophthalmology May 21, 2020
PURPOSE: To develop deep learning models for detecting reticular pseudodrusen (RPD) using fundus autofluorescence (FAF) images or, alternatively, color fundus photographs (CFP) in the context of age-related macular degeneration (AMD).
Aged, 80 and over Humans Deep Learning Sensitivity and Specificity Female Retinal Drusen Male Reproducibility of Results ROC Curve Middle Aged Aged Area Under Curve Datasets as Topic Macular Degeneration Optical Imaging Fluorescein Angiography Ophthalmologists
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The development an artificial intelligence algorithm for early sepsis diagnosis in the intensive care unit.

International journal of medical informatics May 21, 2020
BACKGROUND: Severe sepsis and septic shock are still the leading causes of death in Intensive Care Units (ICUs), and timely diagnosis is crucial for treatment outcomes. The progression of electronic medical records (EMR) offers the possibility of sto...
Sepsis Humans Cohort Studies Algorithms Artificial Intelligence ROC Curve Prospective Studies Intensive Care Units Prognosis Female Retrospective Studies Aged Male
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Non - invasive modelling methodology for the diagnosis of coronary artery disease using fuzzy cognitive maps.

Computer methods in biomechanics and biomedical engineering May 20, 2020
Cardiovascular diseases (CVD) and strokes produce immense health and economic burdens globally. Coronary Artery Disease (CAD) is the most common type of cardiovascular disease. Coronary Angiography, which is an invasive approach for detection and tre...
Humans Algorithms Fuzzy Logic Coronary Artery Disease Databases as Topic Models, Cardiovascular Female Male ROC Curve Decision Support Systems, Clinical
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A CT-based deep learning model for predicting the nuclear grade of clear cell renal cell carcinoma.

European journal of radiology May 20, 2020
PURPOSE: To investigate the effects of different methodologies on the performance of deep learning (DL) model for differentiating high- from low-grade clear cell renal cell carcinoma (ccRCC).
Reproducibility of Results Male Middle Aged Deep Learning Humans Retrospective Studies Tomography, X-Ray Computed Female Radiographic Image Interpretation, Computer-Assisted Kidney Neoplasms Carcinoma, Renal Cell ROC Curve Kidney Predictive Value of Tests Neoplasm Grading
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Multi-instance Deep Learning of Ultrasound Imaging Data for Pattern Classification of Congenital Abnormalities of the Kidney and Urinary Tract in Children.

Urology May 20, 2020
OBJECTIVE: To reliably and quickly diagnose children with posterior urethral valves (PUV), we developed a multi-instance deep learning method to automate image analysis.
Reproducibility of Results Hydronephrosis Humans Male Urethra Diagnosis, Differential Deep Learning Female Infant Urogenital Abnormalities Feasibility Studies Ultrasonography Case-Control Studies Infant, Newborn Image Interpretation, Computer-Assisted ROC Curve Vesico-Ureteral Reflux Kidney
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Stability Assessment of Intracranial Aneurysms Using Machine Learning Based on Clinical and Morphological Features.

Translational stroke research May 19, 2020
Machine learning (ML) as a novel approach could help clinicians address the challenge of accurate stability assessment of unruptured intracranial aneurysms (IAs). We developed multiple ML models for IA stability assessment and compare their performan...
Follow-Up Studies Intracranial Aneurysm Machine Learning Retrospective Studies Female Aged Adult Humans Male Middle Aged ROC Curve
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Machine-Learning Prediction of Oral Drug-Induced Liver Injury (DILI) via Multiple Features and Endpoints.

BioMed research international May 19, 2020
Drug discovery is a costly process which usually takes more than 10 years and billions of dollars for one successful drug to enter the market. Despite all the safety tests, drugs may still cause adverse reactions and be restricted in use or even with...
Chemical and Drug Induced Liver Injury Databases, Pharmaceutical ROC Curve Humans Computational Biology Machine Learning Databases, Genetic Computer Simulation Area Under Curve Transcriptome
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Predicting hospital admission for older emergency department patients: Insights from machine learning.

International journal of medical informatics May 16, 2020
BACKGROUND: Emergency departments (ED) are a portal of entry into the hospital and are uniquely positioned to influence the health care trajectories of older adults seeking medical attention. Older adults present to the ED with distinct needs and com...
ROC Curve Canada Emergency Service, Hospital Geriatric Assessment Aged Humans Machine Learning Aged, 80 and over Prospective Studies Male Female Risk Assessment Hospitalization
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Automated detection and classification of shoulder arthroplasty models using deep learning.

Skeletal radiology May 15, 2020
OBJECTIVE: To develop and evaluate the performance of deep convolutional neural networks (DCNN) to detect and identify specific total shoulder arthroplasty (TSA) models.
Deep Learning ROC Curve Radiography Arthroplasty, Replacement, Shoulder Humans Neural Networks, Computer
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