AIMC Topic: ROC Curve

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MRI-Based Topology Deep Learning Model for Noninvasive Prediction of Microvascular Invasion and Assisting Prognostic Stratification in HCC.

Liver international : official journal of the International Association for the Study of the Liver Mar 1, 2025
BACKGROUND & AIMS: Microvascular invasion (MVI) is associated with poor prognosis in hepatocellular carcinoma (HCC). Topology may improve the predictive performance and interpretability of deep learning (DL). We aimed to develop and externally valida...
Microvessels Carcinoma, Hepatocellular Magnetic Resonance Imaging Neoplasm Invasiveness Proportional Hazards Models Retrospective Studies Humans Female Male Prognosis Risk Factors Middle Aged Aged Deep Learning ROC Curve Liver Neoplasms
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CATALYZE: a deep learning approach for cataract assessment and grading on SS-OCT images.

Journal of cataract and refractive surgery Mar 1, 2025
PURPOSE: To assess a new objective deep learning model cataract grading method based on swept-source optical coherence tomography (SS-OCT) scans provided by the Anterion.
Humans Prospective Studies Female Aged Middle Aged Deep Learning ROC Curve Tomography, Optical Coherence Cataract Aged, 80 and over Young Adult Adult Cross-Sectional Studies Male
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Machine learning model-based prediction of postpancreatectomy acute pancreatitis following pancreaticoduodenectomy: A retrospective cohort study.

World journal of gastroenterology Feb 28, 2025
BACKGROUND: The International Study Group of Pancreatic Surgery has established the definition and grading system for postpancreatectomy acute pancreatitis (PPAP). There are no established machine learning models for predicting PPAP following pancrea...
Risk Assessment Pancreatitis Predictive Value of Tests Postoperative Complications Female Humans Acute Disease Incidence Risk Factors Machine Learning Pancreatectomy ROC Curve Aged Algorithms Pancreatic Fistula Male Retrospective Studies Pancreaticoduodenectomy Middle Aged
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Deep learning model for identifying acute heart failure patients using electrocardiography in the emergency room.

European heart journal. Acute cardiovascular care Feb 20, 2025
AIMS: Acute heart failure (AHF) poses significant diagnostic challenges in the emergency room (ER) because of its varied clinical presentation and limitations of traditional diagnostic methods. This study aimed to develop and evaluate a deep learning...
Emergency Service, Hospital Acute Disease Heart Failure Middle Aged Deep Learning ROC Curve Electrocardiography Humans Retrospective Studies Female Aged Male Stroke Volume
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Machine learning algorithm approach to complete blood count can be used as early predictor of COVID-19 outcome.

Journal of leukocyte biology Feb 13, 2025
Although the SARS-CoV-2 infection has established risk groups, identifying biomarkers for disease outcomes is still crucial to stratify patient risk and enhance clinical management. Optimal efficacy of COVID-19 antiviral medications relies on early a...
Humans Machine Learning Female SARS-CoV-2 Hospitalization Aged Adult COVID-19 Algorithms Biomarkers Prognosis ROC Curve Monocytes Blood Cell Count Male Middle Aged Brazil Severity of Illness Index
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[Prediction of depression symptoms in seniors and analysis of influencing factors based on explainable machine learning].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi Feb 10, 2025
This study aims to construct a machine learning model to predict depression symptoms in the elderly and analyze the key influencing factors of depression in the elderly using the shapley additive interpretation (SHAP) method. Based on entries from ...
Depression Female Humans ROC Curve Aged Machine Learning Logistic Models Male Algorithms China Support Vector Machine Longitudinal Studies
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Constructing a Prognostic Model for Subtypes of Colorectal Cancer Based on Machine Learning and Immune Infiltration-Related Genes.

Journal of cellular and molecular medicine Feb 1, 2025
This study constructed a prognostic model combining machine learning-based immune infiltration-related genes in each CRC subtype. We used publicly accessible gene expression data and clinical information on colorectal cancer patients. Integrated bioi...
Prognosis Female Colorectal Neoplasms Biomarkers, Tumor Male Gene Expression Profiling Humans Gene Expression Regulation, Neoplastic ROC Curve Machine Learning DNA Copy Number Variations Gene Regulatory Networks Algorithms Computational Biology
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Comparison of Predictive Models for Keloid Recurrence Based on Machine Learning.

Journal of cosmetic dermatology Feb 1, 2025
OBJECTIVES: To establish, evaluate and compare three recurrence prediction models for keloid patients using machine learning methods.
Humans Machine Learning Prognosis Female Adult Male Middle Aged Postoperative Complications Adolescent Predictive Learning Models ROC Curve Decision Trees Keloid Recurrence
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Scale to predict risk for refractory septic shock based on a hybrid approach using machine learning and regression modeling.

Emergencias : revista de la Sociedad Espanola de Medicina de Emergencias Feb 1, 2025
OBJECTIVE: To develop a scale to predict refractory septic shock (SS) based on clinical variables recorded during initial evaluations of patients.
Norepinephrine Female Aged Male Middle Aged Risk Assessment ROC Curve Shock, Septic Humans Regression Analysis Machine Learning Emergency Service, Hospital Retrospective Studies Registries Intensive Care Units
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Artificial Intelligence-Based Early Prediction of Acute Respiratory Failure in the Emergency Department Using Biosignal and Clinical Data.

Yonsei medical journal Feb 1, 2025
PURPOSE: Early identification of patients at risk for acute respiratory failure (ARF) could help clinicians devise preventive strategies. Analyzing biosignals with artificial intelligence (AI) can uncover hidden information and variability within tim...
ROC Curve Emergency Service, Hospital Respiratory Insufficiency Female Aged Adult Male Middle Aged Humans Neural Networks, Computer Artificial Intelligence
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