AIMC Topic: ROC Curve

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Development of a machine learning model and nomogram to predict seizures in children with COVID-19: a two-center study.

Journal of tropical pediatrics Apr 5, 2024
OBJECTIVE: This study aimed to use machine learning to evaluate the risk factors of seizures and develop a model and nomogram to predict seizures in children with coronavirus disease 2019 (COVID-19).
Seizures ROC Curve Logistic Models Nomograms SARS-CoV-2 Risk Factors Male Infant Child, Preschool Child Machine Learning COVID-19 Female Humans
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Artificial Intelligence in Cataract Surgery: A Systematic Review.

Translational vision science & technology Apr 2, 2024
PURPOSE: The purpose of this study was to assess the current use and reliability of artificial intelligence (AI)-based algorithms for analyzing cataract surgery videos.
Humans Artificial Intelligence Machine Learning Cataract Extraction Surgery, Computer-Assisted Video Recording Algorithms Reproducibility of Results ROC Curve
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Explainable Machine Learning Model to Preoperatively Predict Postoperative Complications in Inpatients With Cancer Undergoing Major Operations.

JCO clinical cancer informatics Apr 1, 2024
PURPOSE: Preoperative prediction of postoperative complications (PCs) in inpatients with cancer is challenging. We developed an explainable machine learning (ML) model to predict PCs in a heterogenous population of inpatients with cancer undergoing s...
Humans Machine Learning Aged Male Middle Aged Retrospective Studies Electronic Health Records Female Neoplasms Risk Assessment ROC Curve Postoperative Complications Inpatients
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Bayesian and deep-learning models applied to the early detection of ovarian cancer using multiple longitudinal biomarkers.

Cancer medicine Apr 1, 2024
BACKGROUND: Ovarian cancer is the most lethal of all gynecological cancers. Cancer Antigen 125 (CA125) is the best-performing ovarian cancer biomarker which however is still not effective as a screening test in the general population. Recent literatu...
Humans Female Biomarkers, Tumor Early Detection of Cancer Ovarian Neoplasms Bayes Theorem Case-Control Studies Deep Learning ROC Curve
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Artificial intelligence-based automated preprocessing and classification of impacted maxillary canines in panoramic radiographs.

Dento maxillo facial radiology Mar 25, 2024
OBJECTIVES: Automating the digital workflow for diagnosing impacted canines using panoramic radiographs (PRs) is challenging. This study explored feature extraction, automated cropping, and classification of impacted and nonimpacted canines as a firs...
Maxilla Radiography, Panoramic Cuspid Tooth, Impacted Humans Artificial Intelligence ROC Curve
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[Preliminary Study on the Identification of Aerobic Vaginitis by Artificial Intelligence Analysis System].

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition Mar 20, 2024
OBJECTIVE: To develop an artificial intelligence vaginal secretion analysis system based on deep learning and to evaluate the accuracy of automated microscopy in the clinical diagnosis of aerobic vaginitis (AV).
Deep Learning ROC Curve Microscopy Lactobacillus Vagina Vaginosis, Bacterial Software Humans Algorithms Artificial Intelligence Female
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Deep learning-based automatic scoring models for the disease activity of rheumatoid arthritis based on multimodal ultrasound images.

Rheumatology (Oxford, England) Mar 1, 2024
OBJECTIVES: We aimed to investigate the value of deep learning (DL) models based on multimodal ultrasonographic (US) images to quantify RA activity.
Radiologists Humans Deep Learning Ultrasonography ROC Curve Arthritis, Rheumatoid
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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...
Female Computational Biology Humans RNA, Long Noncoding Breast Neoplasms Neural Networks, Computer Neoplasms Area Under Curve Algorithms Biomarkers, Tumor ROC Curve Forecasting Lung Neoplasms
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Semisupervised transfer learning for evaluation of model classification performance.

Biometrics Jan 29, 2024
In many modern machine learning applications, changes in covariate distributions and difficulty in acquiring outcome information have posed challenges to robust model training and evaluation. Numerous transfer learning methods have been developed to ...
Supervised Machine Learning Research Design Humans ROC Curve Bias Machine Learning
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Integrative approach for predicting drug-target interactions via matrix factorization and broad learning systems.

Mathematical biosciences and engineering : MBE Jan 18, 2024
In the drug discovery process, time and costs are the most typical problems resulting from the experimental screening of drug-target interactions (DTIs). To address these limitations, many computational methods have been developed to achieve more acc...
Neural Networks, Computer ROC Curve Drug Discovery
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