AIMC Topic: Area Under Curve

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Machine Learning Models for Predicting Cycloplegic Refractive Error and Myopia Status Based on Non-Cycloplegic Data in Chinese Students.

Translational vision science & technology Aug 1, 2024
PURPOSE: To develop and validate machine learning (ML) models for predicting cycloplegic refractive error and myopia status using noncycloplegic refractive error and biometric data.
Myopia Refractive Errors Prevalence China Male Students Refraction, Ocular East Asian People Area Under Curve Biometry Mydriatics Adolescent Child, Preschool Child ROC Curve Humans Machine Learning Female Cross-Sectional Studies
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Deep Learning-Based Vascular Aging Prediction From Retinal Fundus Images.

Translational vision science & technology Jul 1, 2024
PURPOSE: The purpose of this study was to establish and validate a deep learning model to screen vascular aging using retinal fundus images. Although vascular aging is considered a novel cardiovascular risk factor, the assessment methods are currentl...
Humans Female Risk Factors Aged Area Under Curve Pulse Wave Analysis Fundus Oculi Retinal Vessels Middle Aged Deep Learning ROC Curve Aged, 80 and over Hypertension Male Aging
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Performance evaluation of ML models for preoperative prediction of HER2-low BC based on CE-CBBCT radiomic features: A prospective study.

Medicine Jun 14, 2024
To explore the value of machine learning (ML) models based on contrast-enhanced cone-beam breast computed tomography (CE-CBBCT) radiomics features for the preoperative prediction of human epidermal growth factor receptor 2 (HER2)-low expression breas...
Radiomics Middle Aged ROC Curve Cone-Beam Computed Tomography Aged Adult Breast Neoplasms Support Vector Machine Contrast Media Area Under Curve Receptor, ErbB-2 Humans Machine Learning Prospective Studies Female
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Constructing synthetic datasets with generative artificial intelligence to train large language models to classify acute renal failure from clinical notes.

Journal of the American Medical Informatics Association : JAMIA May 20, 2024
OBJECTIVES: To compare performances of a classifier that leverages language models when trained on synthetic versus authentic clinical notes.
Natural Language Processing Area Under Curve Humans Artificial Intelligence Datasets as Topic Acute Kidney Injury Electronic Health Records ROC Curve
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An interpretable predictive deep learning platform for pediatric metabolic diseases.

Journal of the American Medical Informatics Association : JAMIA May 20, 2024
OBJECTIVES: Metabolic disease in children is increasing worldwide and predisposes a wide array of chronic comorbid conditions with severe impacts on quality of life. Tools for early detection are needed to promptly intervene to prevent or slow the de...
Area Under Curve Metabolic Diseases Humans Prediabetic State Electronic Health Records Female ROC Curve Adolescent Male Child, Preschool Diabetes Mellitus, Type 2 Deep Learning Child Pediatric Obesity Metabolic Syndrome
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What predicts citation counts and translational impact in headache research? A machine learning analysis.

Cephalalgia : an international journal of headache May 1, 2024
BACKGROUND: We aimed to develop the first machine learning models to predict citation counts and the translational impact, defined as inclusion in guidelines or policy documents, of headache research, and assess which factors are most predictive.
Biomedical Research ROC Curve Bibliometrics Area Under Curve Random Forest Periodicals as Topic Headache Datasets as Topic Humans Machine Learning Authorship Practice Guidelines as Topic Translational Science, Biomedical
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HRGCNLDA: Forecasting of lncRNA-disease association based on hierarchical refinement graph convolutional neural network.

Mathematical biosciences and engineering : MBE Feb 29, 2024
Long non-coding RNA (lncRNA) is considered to be a crucial regulator involved in various human biological processes, including the regulation of tumor immune checkpoint proteins. It has great potential as both a cancer biomolecular biomarker and ther...
Area Under Curve Lung Neoplasms Computational Biology RNA, Long Noncoding Breast Neoplasms Neural Networks, Computer Humans Biomarkers, Tumor Algorithms Neoplasms Forecasting ROC Curve Female
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Artificial Intelligence Approach for Severe Dengue Early Warning System.

Studies in health technology and informatics Jan 25, 2024
Dengue fever is a viral infectious disease transmitted through mosquito bites, and has symptoms ranging from mild flu-like symptoms to deadly complications. Dengue fever is one of the global burden diseases which annually have 50-100 million cases wi...
Administrative Personnel Humans Child Artificial Intelligence Area Under Curve Machine Learning Severe Dengue
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Deep Learning for Midfacial Fracture Detection in CT Images.

Studies in health technology and informatics Jan 25, 2024
This study deploys the deep learning-based object detection algorithms to detect midfacial fractures in computed tomography (CT) images. The object detection models were created using faster R-CNN and RetinaNet from 2,000 CT images. The best detectio...
Humans Algorithms Deep Learning Fractures, Bone Area Under Curve
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A Fully Automated Deep-Learning Model for Predicting the Molecular Subtypes of Posterior Fossa Ependymomas Using T2-Weighted Images.

Clinical cancer research : an official journal of the American Association for Cancer Research Jan 5, 2024
PURPOSE: We aimed to develop and validate a deep learning (DL) model to automatically segment posterior fossa ependymoma (PF-EPN) and predict its molecular subtypes [Group A (PFA) and Group B (PFB)] from preoperative MR images.
Area Under Curve Clinical Decision-Making Humans Ependymoma Deep Learning Retrospective Studies Phenylphosphonothioic Acid, 2-Ethyl 2-(4-Nitrophenyl) Ester Magnetic Resonance Imaging
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