AIMC Topic: ROC Curve

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Skin Cancer Detection in Diverse Skin Tones by Machine Learning Combining Audio and Visual Convolutional Neural Networks.

Oncology Sep 23, 2024
INTRODUCTION: Skin cancer (SC) is common in fair skin (FS) at a 1:5 lifetime incidence for nonmelanoma skin cancer. In order to assist clinicians' decisions, a risk intervention technology was developed, which combines a dual-mode machine learning of...
Skin Pigmentation Humans Skin Neoplasms Neural Networks, Computer Middle Aged Machine Learning Aged Convolutional Neural Networks Algorithms Adult ROC Curve Retrospective Studies Sensitivity and Specificity Smartphone Female Male
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Interpretable machine learning model predicting immune checkpoint inhibitor-induced hypothyroidism: A retrospective cohort study.

Cancer science Sep 23, 2024
Hypothyroidism is a known adverse event associated with the use of immune checkpoint inhibitors (ICIs) in cancer treatment. This study aimed to develop an interpretable machine learning (ML) model for individualized prediction of hypothyroidism in pa...
Logistic Models Support Vector Machine Hypothyroidism Thyrotropin Middle Aged Neoplasms ROC Curve Immune Checkpoint Inhibitors Humans Retrospective Studies Machine Learning Female Aged Adult Male
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A Compact Graph Convolutional Network With Adaptive Functional Connectivity for Seizure Prediction.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 23, 2024
Seizure prediction using EEG has significant implications for the daily monitoring and treatment of epilepsy patients. However, the task is challenging due to the underlying spatiotemporal correlations and patient heterogeneity. Traditional methods o...
Epilepsy Adult Seizures Humans Male Neural Networks, Computer ROC Curve Algorithms Area Under Curve Female Electroencephalography
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Comparative evaluation of machine learning models in predicting overall survival for nasopharyngeal carcinoma using F-FDG PET-CT parameters.

Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico Sep 20, 2024
PURPOSE: The objective of this study is to assess the prognostic efficacy of F-fluorodeoxyglucose (F-FDG) positron emission tomography/computed tomography (PET-CT) parameters in nasopharyngeal carcinoma (NPC) and identify the best machine learning (M...
Female Aged Young Adult Adult Survival Rate Humans Machine Learning Prognosis Retrospective Studies Fluorodeoxyglucose F18 Nasopharyngeal Carcinoma Nasopharyngeal Neoplasms Male Middle Aged ROC Curve Positron Emission Tomography Computed Tomography Radiopharmaceuticals
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AI-Safe-C score: Assessing liver-related event risks in patients without cirrhosis after successful direct-acting antiviral treatment.

Journal of hepatology Sep 20, 2024
BACKGROUND & AIMS: Direct-acting antivirals (DAAs) have considerably improved chronic hepatitis C (HCV) treatment; however, follow-up after sustained virological response (SVR) typically neglects the risk of liver-related events (LREs). This study in...
Hepatitis C, Chronic France Hong Kong Sustained Virologic Response Risk Factors Aged Adult Male Middle Aged Risk Assessment Humans ROC Curve Artificial Intelligence Liver Neoplasms Republic of Korea Antiviral Agents Female Liver Cirrhosis
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Computer Vision Identification of Trachomatous Inflammation-Follicular Using Deep Learning.

Cornea Sep 20, 2024
PURPOSE: Trachoma surveys are used to estimate the prevalence of trachomatous inflammation-follicular (TF) to guide mass antibiotic distribution. These surveys currently rely on human graders, introducing a significant resource burden and potential f...
Reproducibility of Results Sensitivity and Specificity Male Infant Prevalence Diagnosis, Computer-Assisted Deep Learning Child, Preschool Child ROC Curve Humans Neural Networks, Computer Female Infant, Newborn Trachoma Ethiopia Conjunctiva Photography Eyelids
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Prediction of preterm birth in multiparous women using logistic regression and machine learning approaches.

Scientific reports Sep 20, 2024
To predict preterm birth (PTB) in multiparous women, comparing machine learning approaches with traditional logistic regression. A population-based cohort study was conducted using data from the Ontario Better Outcomes Registry and Network (BORN). Th...
Infant, Newborn Premature Birth Parity Risk Factors Adult Cohort Studies ROC Curve Ontario Logistic Models Humans Neural Networks, Computer Machine Learning Pregnancy Female
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Machine Learning of Laboratory Data in Predicting 30-Day Mortality for Adult Hemophagocytic Lymphohistiocytosis.

Journal of clinical immunology Sep 20, 2024
BACKGROUND: Hemophagocytic Lymphohistiocytosis (HLH) carries a high mortality rate. Current existing risk-evaluation methodologies fall short and improved predictive methods are needed. This study aimed to forecast 30-day mortality in adult HLH patie...
Humans Machine Learning ROC Curve Lymphohistiocytosis, Hemophagocytic Aged Algorithms Young Adult Prognosis Adult Retrospective Studies Male Female Middle Aged
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Validation of a deep learning model for automatic detection and quantification of five OCT critical retinal features associated with neovascular age-related macular degeneration.

The British journal of ophthalmology Sep 20, 2024
PURPOSE: To develop and validate a deep learning model for the segmentation of five retinal biomarkers associated with neovascular age-related macular degeneration (nAMD).
Subretinal Fluid Tomography, Optical Coherence Retina Wet Macular Degeneration Retinal Drusen Aged, 80 and over Male Deep Learning Humans ROC Curve Female Area Under Curve Aged
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Deep learning model for extensive smartphone-based diagnosis and triage of cataracts and multiple corneal diseases.

The British journal of ophthalmology Sep 20, 2024
AIM: To develop an artificial intelligence (AI) algorithm that diagnoses cataracts/corneal diseases from multiple conditions using smartphone images.
Humans Smartphone Algorithms Triage Sensitivity and Specificity Female Cataract Male Aged Corneal Diseases Middle Aged Slit Lamp Microscopy Deep Learning ROC Curve
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