AIMC Topic: Area Under Curve

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Predicting outcomes in patients with perforated gastroduodenal ulcers: artificial neural network modelling indicates a highly complex disease.

European journal of trauma and emergency surgery : official publication of the European Trauma Society Jun 14, 2014
PURPOSE: Mortality prediction models for patients with perforated peptic ulcer (PPU) have not yielded consistent or highly accurate results. Given the complex nature of this disease, which has many non-linear associations with outcomes, we explored a...
Outcome Assessment, Health Care Peptic Ulcer Perforation Risk Assessment ROC Curve Comorbidity Aged Female Predictive Value of Tests Aged, 80 and over Male Reproducibility of Results Area Under Curve Adult Humans Middle Aged Risk Factors Neural Networks, Computer Prognosis
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A machine learning-based prediction model for sepsis-associated delirium in intensive care unit patients with sepsis-associated acute kidney injury.

Renal failure Dec 1, 2025
Sepsis-associated acute kidney injury (SA-AKI) patients in the ICU often suffer from sepsis-associated delirium (SAD), which is linked to unfavorable outcomes. This research aimed to develop a machine learning-based model for early SAD prediction in ...
Humans Retrospective Studies Acute Kidney Injury Machine Learning Databases, Factual Sepsis Delirium ROC Curve Aged Predictive Learning Models Logistic Models Male Aged, 80 and over Sepsis-Associated Encephalopathy Intensive Care Units Middle Aged Decision Trees Female Predictive Value of Tests Reproducibility of Results Area Under Curve Bayes Theorem
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Classifying the AMi-Br Mitotic Figure Dataset with AUCMEDI.

Studies in health technology and informatics Sep 3, 2025
INTRODUCTION: Mitotic figure (MF) density has been established as a key biomarker for certain tumors. Recently, the differentiation between atypical MFs (AMF) and normal MFs (NMFs) has gained increased interest in research, as AMFs density could be a...
Deep Learning Area Under Curve Mitosis Mitotic Index Humans Female Breast Neoplasms
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Advancing biogeographical ancestry predictions through machine learning.

Forensic science international. Genetics Sep 1, 2025
Tools like Snipper or the Admixture Model count as state-of-the-art methods in forensic science for biogeographical ancestry. However, they have not been systematically compared to classifiers widely used in other disciplines. Noting that genetic dat...
Humans Machine Learning ROC Curve Area Under Curve Racial Groups Forensic Genetics Genetics, Population
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So You've Got a High AUC, Now What? An Overview of Important Considerations when Bringing Machine-Learning Models from Computer to Bedside.

Medical decision making : an international journal of the Society for Medical Decision Making Aug 1, 2025
Machine-learning (ML) models have the potential to transform health care by enabling more personalized and data-driven clinical decision making. However, their successful implementation in clinical practice requires careful consideration of factors b...
Machine Learning Clinical Decision-Making Area Under Curve Humans
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Predicting metabolite-disease associations based on dynamic adaptive feature learning architecture.

Computer methods and programs in biomedicine Aug 1, 2025
BACKGROUND AND OBJECTIVE: In recent years, the association between metabolites and complex human diseases has increasingly been recognized as a major research focus. Traditional wet-lab experiments are considered time-consuming and labor-intensive, w...
Area Under Curve Alzheimer Disease Computational Biology Metabolomics Parkinson Disease Machine Learning Algorithms Humans Diabetes Mellitus, Type 2
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ADEPT: An advanced data exploration and processing tool for clinical data insights.

Computer methods and programs in biomedicine Aug 1, 2025
BACKGROUND AND OBJECTIVE: The rapid growth of clinical data creates challenges in analysis and interpretation for medical professionals. To address these issues, we developed the Advanced Data Exploration and Processing Tool (ADEPT), integrating data...
Algorithms Logistic Models Support Vector Machine Data Mining Cluster Analysis Humans Area Under Curve Machine Learning Software
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Equitable Deep Learning for Diabetic Retinopathy Detection Using Multidimensional Retinal Imaging With Fair Adaptive Scaling.

Translational vision science & technology Jul 1, 2025
PURPOSE: To investigate the fairness of existing deep models for diabetic retinopathy (DR) detection and introduce an equitable model to reduce group performance disparities.
ROC Curve Area Under Curve Tomography, Optical Coherence Retina Male Diabetic Retinopathy Middle Aged Female Deep Learning Humans
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External validation of a proprietary risk model for 1-year mortality in community-dwelling adults aged 65 years or older.

Journal of the American Medical Informatics Association : JAMIA Jul 1, 2025
OBJECTIVE: To examine the discrimination, calibration, and algorithmic fairness of the Epic End of Life Care Index (EOL-CI).
Humans Machine Learning Algorithms Female Terminal Care Mortality Independent Living Southeastern United States Aged Risk Assessment Aged, 80 and over ROC Curve Male Area Under Curve
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Comparing logistic regression and machine learning for obesity risk prediction: A systematic review and meta-analysis.

International journal of medical informatics Jul 1, 2025
BACKGROUND: Logistic regression (LR) has traditionally been the standard method used for predicting binary health outcomes; however, machine learning (ML) methods are increasingly popular.
Humans Logistic Models Obesity Machine Learning Area Under Curve Algorithms Risk Assessment
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