AIMC Topic: ROC Curve

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Using Multi-Layer Perceptron Driven Diagnosis to Compare Biomarkers for Primary Open Angle Glaucoma.

Investigative ophthalmology & visual science Sep 3, 2024
PURPOSE: To use neural network machine learning (ML) models to identify the most relevant ocular biomarkers for the diagnosis of primary open-angle glaucoma (POAG).
Neural Networks, Computer Prospective Studies Biomarkers Female Aged Intraocular Pressure Male Middle Aged Humans Optic Disk Retinal Ganglion Cells Visual Fields Glaucoma, Open-Angle ROC Curve Area Under Curve Tomography, Optical Coherence Nerve Fibers
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Long-Term Rate of Optic Disc Rim Loss in Glaucoma Patients Measured From Optic Disc Photographs With a Deep Neural Network.

Translational vision science & technology Sep 3, 2024
PURPOSE: This study uses deep neural network-generated rim-to-disc area ratio (RADAR) measurements and the disc damage likelihood scale (DDLS) to measure the rate of optic disc rim loss in a large cohort of glaucoma patients.
Visual Fields Visual Field Tests Optic Nerve Diseases Photography Middle Aged Disease Progression ROC Curve Optic Disk Humans Neural Networks, Computer Glaucoma Retrospective Studies Female Adult Aged Intraocular Pressure Male
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Prediction of Post-Treatment Visual Acuity in Age-Related Macular Degeneration Patients With an Interpretable Machine Learning Method.

Translational vision science & technology Sep 3, 2024
PURPOSE: We evaluated the features predicting visual acuity (VA) after one year in neovascular age-related macular degeneration (nAMD) patients.
Indocyanine Green Intravitreal Injections Fluorescein Angiography Ranibizumab ROC Curve Angiogenesis Inhibitors Visual Acuity Tomography, Optical Coherence Wet Macular Degeneration Humans Machine Learning Retrospective Studies Female Aged Aged, 80 and over Male Middle Aged
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Beyond PhacoTrainer: Deep Learning for Enhanced Trabecular Meshwork Detection in MIGS Videos.

Translational vision science & technology Sep 3, 2024
PURPOSE: The purpose of this study was to develop deep learning models for surgical video analysis, capable of identifying minimally invasive glaucoma surgery (MIGS) and locating the trabecular meshwork (TM).
ROC Curve Minimally Invasive Surgical Procedures Cataract Extraction Video Recording Trabecular Meshwork Humans Glaucoma Deep Learning
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Identification of fatty acid metabolism signature genes in patients with pulmonary arterial hypertension using WGCNA and machine learning.

The Journal of international medical research Sep 1, 2024
OBJECTIVE: To investigate the signature genes of fatty acid metabolism and their association with immune cells in pulmonary arterial hypertension (PAH).
Retrospective Studies Female Male Humans Gene Expression Profiling Machine Learning Transcriptome Algorithms Fatty Acids Hypertension, Pulmonary Pulmonary Arterial Hypertension ROC Curve Gene Regulatory Networks Computational Biology Databases, Genetic
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Explainable Artificial Intelligence for Early Prediction of Pressure Injury Risk.

American journal of critical care : an official publication, American Association of Critical-Care Nurses Sep 1, 2024
BACKGROUND: Hospital-acquired pressure injuries (HAPIs) have a major impact on patient outcomes in intensive care units (ICUs). Effective prevention relies on early and accurate risk assessment. Traditional risk-assessment tools, such as the Braden S...
Male Intensive Care Units Pressure Ulcer Humans Artificial Intelligence Female Machine Learning Risk Factors Algorithms Aged Middle Aged Risk Assessment ROC Curve
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A machine learning-based prediction model for gout in hyperuricemics: a nationwide cohort study.

Rheumatology (Oxford, England) Sep 1, 2024
OBJECTIVE: To develop a machine learning-based prediction model for identifying hyperuricemic participants at risk of developing gout.
Risk Assessment Cohort Studies ROC Curve Hyperuricemia Aged Adult Male Middle Aged Uric Acid Israel Gout Machine Learning Humans Retrospective Studies Female
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Clinical risk prediction using language models: benefits and considerations.

Journal of the American Medical Informatics Association : JAMIA Sep 1, 2024
OBJECTIVE: The use of electronic health records (EHRs) for clinical risk prediction is on the rise. However, in many practical settings, the limited availability of task-specific EHR data can restrict the application of standard machine learning pipe...
Machine Learning Risk Assessment Humans Electronic Health Records ROC Curve Natural Language Processing
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Machine learning models for differential diagnosing HER2-low breast cancer: A radiomics approach.

Medicine Aug 16, 2024
To develop machine learning models based on preoperative dynamic enhanced magnetic resonance imaging (DCE-MRI) radiomics and to explore their potential prognostic value in the differential diagnosis of human epidermal growth factor receptor 2 (HER2)-...
Radiomics ROC Curve Magnetic Resonance Imaging Diagnosis, Differential Retrospective Studies Female Sensitivity and Specificity Humans Receptor, ErbB-2 Breast Neoplasms Machine Learning
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Machine Learning-Based Prediction of 1-Year Survival Using Subjective and Objective Parameters in Patients With Cancer.

JCO clinical cancer informatics Aug 1, 2024
PURPOSE: Palliative care is recommended for patients with cancer with a life expectancy of <12 months. Machine learning (ML) techniques can help in predicting survival outcomes among patients with cancer and may help distinguish who benefits the most...
Male Female Humans Middle Aged Aged Machine Learning Aged, 80 and over Neoplasms Patient Reported Outcome Measures Prognosis Adult ROC Curve Electronic Health Records Palliative Care
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