AIMC Topic: ROC Curve

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An Approach to Predict Intraocular Diseases by Machine Learning Based on Vitreous Humor Immune Mediator Profile.

Investigative ophthalmology & visual science Mar 3, 2025
PURPOSE: This study aimed to elucidate whether machine learning algorithms applied to vitreous levels of immune mediators predict the diagnosis of 12 representative intraocular diseases, and identify immune mediators driving the predictive power of m...
Adult Male Middle Aged ROC Curve Cytokines Biomarkers Female Aged Eye Diseases Vitreous Body Humans Machine Learning Algorithms
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Artificial Intelligence Versus Rules-Based Approach for Segmenting NonPerfusion Area in a DRCR Retina Network Optical Coherence Tomography Angiography Dataset.

Investigative ophthalmology & visual science Mar 3, 2025
PURPOSE: Loss of retinal perfusion is associated with both onset and worsening of diabetic retinopathy (DR). Optical coherence tomography angiography is a noninvasive method for measuring the nonperfusion area (NPA) and has promise as a scalable scre...
Female Aged Adult Male Humans Diabetic Retinopathy Artificial Intelligence ROC Curve Algorithms Tomography, Optical Coherence Fundus Oculi Middle Aged Deep Learning Fluorescein Angiography Retinal Vessels
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Automated proximal coronary artery calcium identification using artificial intelligence: advancing cardiovascular risk assessment.

European heart journal. Cardiovascular Imaging Mar 3, 2025
AIMS: Identification of proximal coronary artery calcium (CAC) may improve prediction of major adverse cardiac events (MACE) beyond the CAC score, particularly in patients with low CAC burden. We investigated whether the proximal CAC can be detected ...
Retrospective Studies Tomography, X-Ray Computed Female Aged Humans Artificial Intelligence Risk Assessment Algorithms Severity of Illness Index Prognosis Male ROC Curve Middle Aged Computed Tomography Angiography Follow-Up Studies Coronary Angiography Coronary Artery Disease Vascular Calcification
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Unraveling Uncertainty: The Impact of Biological and Analytical Variation on the Prediction Uncertainty of Categorical Prediction Models.

The journal of applied laboratory medicine Mar 3, 2025
BACKGROUND: Interest in prediction models, including machine learning (ML) models, based on laboratory data has increased tremendously. Uncertainty in laboratory measurements and predictions based on such data are inherently intertwined. This study d...
Humans Machine Learning Female Kidney Function Tests Models, Statistical Area Under Curve Emergency Service, Hospital Uncertainty Sensitivity and Specificity Male ROC Curve Renal Insufficiency, Chronic
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Exploring Ovarian Cancer Prediction Models and Potential Markers Using Machine Learning.

Annals of clinical and laboratory science Mar 1, 2025
OBJECTIVE: To develop machine learning models, facilitate a more accurate diagnosis of ovarian cancer (OC), and explore potential markers.
ROC Curve Support Vector Machine Ovarian Neoplasms Area Under Curve Aged CA-125 Antigen Adult Biomarkers, Tumor Middle Aged Humans Neural Networks, Computer Machine Learning Female
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Application of Interpretable Machine Learning Models to Predict the Risk Factors of HBV-Related Liver Cirrhosis in CHB Patients Based on Routine Clinical Data: A Retrospective Cohort Study.

Journal of medical virology Mar 1, 2025
Chronic hepatitis B (CHB) infection represents a significant global public health issue, often leading to hepatitis B virus (HBV)-related liver cirrhosis (HBV-LC) with poor prognoses. Early identification of HBV-LC risk is essential for timely interv...
Liver Cirrhosis Hepatitis B, Chronic Male Middle Aged ROC Curve Hepatitis B virus Retrospective Studies Female Risk Factors Aged Adult Humans Machine Learning
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Identification and Validation of Four Serum Biomarkers With Optimal Diagnostic and Prognostic Potential for Gastric Cancer Based on Machine Learning Algorithms.

Cancer medicine Mar 1, 2025
BACKGROUND: Gastric cancer (GC) is considered a highly heterogeneous disease, and currently, a comprehensive approach encompassing molecular data from various biological levels is lacking.
Algorithms Prognosis Female Stomach Neoplasms Middle Aged Gene Expression Profiling ROC Curve Biomarkers, Tumor Male Humans Machine Learning Gene Regulatory Networks Computational Biology Gene Expression Regulation, Neoplastic Kaplan-Meier Estimate
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Predicting Neoplastic Polyp in Patients With Gallbladder Polyps Using Interpretable Machine Learning Models: Retrospective Cohort Study.

Cancer medicine Mar 1, 2025
OBJECTIVE: Gallbladder polyps (GBPs) are increasingly prevalent, with the majority being benign; however, neoplastic polyps carry a risk of malignant transformation, highlighting the importance of accurate differentiation. This study aimed to develop...
Adult Male Middle Aged ROC Curve Gallbladder Diseases Gallbladder Neoplasms Humans Algorithms Machine Learning Retrospective Studies Female Aged Cholecystectomy Polyps
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Developing and validating a prediction tool for cerebral amyloid angiopathy neuropathological severity.

Alzheimer's & dementia : the journal of the Alzheimer's Association Mar 1, 2025
INTRODUCTION: Cerebral amyloid angiopathy (CAA) is a cerebrovascular condition, the severity of which can only be determined post mortem. Here, we developed machine learning models, the Florey CAA Score (FCAAS), to predict CAA severity (none/mild/mod...
Male Severity of Illness Index Pilot Projects Cohort Studies Machine Learning Female Aged Aged, 80 and over ROC Curve Cerebral Amyloid Angiopathy Humans
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Feasibility of a Machine Learning Classifier for Predicting Post-Induction Hypotension in Non-Cardiac Surgery.

Yonsei medical journal Mar 1, 2025
PURPOSE: To develop a machine learning (ML) classifier for predicting post-induction hypotension (PIH) in non-cardiac surgeries.
Algorithms Female Aged Adult Male Humans Machine Learning Middle Aged ROC Curve Feasibility Studies Hypotension
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