AIMC Topic: ROC Curve

Clear Filters Showing 1291 to 1300 of 3402 articles

Deep Learning to Predict Traumatic Brain Injury Outcomes in the Low-Resource Setting.

World neurosurgery Mar 3, 2022
OBJECTIVE: Traumatic brain injury (TBI) disproportionately affects low- and middle-income countries (LMICs). In these settings, accurate patient prognostication is both difficult and essential for high-quality patient care. With the ultimate goal of ...
Logistic Models Brain Injuries, Traumatic Deep Learning Uganda ROC Curve Humans
View on PubMed DOI

Incorporating Radiomics into Machine Learning Models to Predict Outcomes of Neuroblastoma.

Journal of digital imaging Mar 2, 2022
Neuroblastoma is one of the most common pediatric cancers. This study used machine learning (ML) to predict the mortality and a few other investigated intermediate outcomes of neuroblastoma patients non-invasively from CT images. Performances of mult...
Humans Child Machine Learning ROC Curve Algorithms Neuroblastoma Retrospective Studies
View on PubMed DOI

Detection of maxillary sinus fungal ball via 3-D CNN-based artificial intelligence: Fully automated system and clinical validation.

PloS one Feb 25, 2022
BACKGROUND: This study aims to develop artificial intelligence (AI) system to automatically classify patients with maxillary sinus fungal ball (MFB), chronic rhinosinusitis (CRS), and healthy controls (HCs).
ROC Curve Sinusitis Maxillary Sinus Artificial Intelligence Tomography, X-Ray Computed Deep Learning Humans Neural Networks, Computer
View on PubMed DOI

Machine learning for predicting chronic diseases: a systematic review.

Public health Feb 24, 2022
OBJECTIVES: We aimed to review the literature regarding the use of machine learning to predict chronic diseases.
Humans Machine Learning Prognosis Chronic Disease ROC Curve Bayes Theorem
View on PubMed DOI

Artificial intelligence-based classification of bone tumors in the proximal femur on plain radiographs: System development and validation.

PloS one Feb 24, 2022
PURPOSE: Early detection and classification of bone tumors in the proximal femur is crucial for their successful treatment. This study aimed to develop an artificial intelligence (AI) model to classify bone tumors in the proximal femur on plain radio...
Image Processing, Computer-Assisted Bone Neoplasms Radiography Algorithms Humans Reproducibility of Results Observer Variation ROC Curve Neural Networks, Computer Artificial Intelligence Femur
View on PubMed DOI

Reproducible neuroimaging features for diagnosis of autism spectrum disorder with machine learning.

Scientific reports Feb 23, 2022
Autism spectrum disorder (ASD) is the fourth most common neurodevelopmental disorder, with a prevalence of 1 in 160 children. Accurate diagnosis relies on experts, but such individuals are scarce. This has led to increasing interest in the developmen...
Magnetic Resonance Imaging Neuroimaging Models, Psychological Child ROC Curve Female Reproducibility of Results Young Adult Adult Male Adolescent Machine Learning Autism Spectrum Disorder Brain Humans
View on PubMed DOI

Enhancing deep learning based classifiers with inpainting anatomical side markers (L/R markers) for multi-center trials.

Computer methods and programs in biomedicine Feb 22, 2022
BACKGROUND AND OBJECTIVE: The protocol for placing anatomical side markers (L/R markers) in chest radiographs varies from one hospital or department to another. However, the markers have strong signals that can be useful for deep learning-based class...
ROC Curve Deep Learning Area Under Curve Radiography
View on PubMed DOI

Detecting visually significant cataract using retinal photograph-based deep learning.

Nature aging Feb 21, 2022
Age-related cataracts are the leading cause of visual impairment among older adults. Many significant cases remain undiagnosed or neglected in communities, due to limited availability or accessibility to cataract screening. In the present study, we r...
Cataract Retina Aged Deep Learning ROC Curve Humans Algorithms
View on PubMed DOI

Efficient link prediction in the protein-protein interaction network using topological information in a generative adversarial network machine learning model.

BMC bioinformatics Feb 19, 2022
BACKGROUND: The investigation of possible interactions between two proteins in intracellular signaling is an expensive and laborious procedure in the wet-lab, therefore, several in silico approaches have been implemented to narrow down the candidates...
Machine Learning Algorithms ROC Curve Protein Interaction Maps Proteins
View on PubMed DOI

Early identification of patients admitted to hospital for covid-19 at risk of clinical deterioration: model development and multisite external validation study.

BMJ (Clinical research ed.) Feb 17, 2022
OBJECTIVE: To create and validate a simple and transferable machine learning model from electronic health record data to accurately predict clinical deterioration in patients with covid-19 across institutions, through use of a novel paradigm for mode...
Retrospective Studies Electronic Health Records Female Machine Learning COVID-19 Prognosis Aged, 80 and over Young Adult Adult SARS-CoV-2 Hospitalization Aged Humans Predictive Value of Tests Hospitals Clinical Deterioration Area Under Curve Male Adolescent Middle Aged Linear Models ROC Curve Clinical Decision Rules Risk Assessment
View on PubMed DOI
Popular Topics
Recent Journals