AIMC Topic: ROC Curve

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[Screening of characteristic genes of salivary gland adenoid cystic carcinoma based on weighted co-expression network and machine learning].

Shanghai kou qiang yi xue = Shanghai journal of stomatology Dec 1, 2024
PURPOSE: To identify potential biomarkers of salivary gland adenoid cystic carcinoma to further understand the potential pathogenesis of adenoid cystic carcinoma.
Humans Machine Learning Biomarkers, Tumor Gene Expression Profiling ROC Curve Gene Regulatory Networks Gene Expression Regulation, Neoplastic RNA, Long Noncoding Salivary Gland Neoplasms Carcinoma, Adenoid Cystic
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Stratification of Early Arrhythmic Risk in Patients Admitted for Acute Coronary Syndrome: The Role of the Machine Learning-Derived "PRAISE Score".

Clinical cardiology Dec 1, 2024
BACKGROUND: The PRAISE (PRedicting with Artificial Intelligence riSk aftEr acute coronary syndrome) score is a machine learning-based model for predicting 1-year adverse cardiovascular or bleeding events in patients with acute coronary syndrome (ACS)...
Acute Coronary Syndrome Aged Male Middle Aged Risk Assessment Prospective Studies Time Factors Humans Prognosis ROC Curve Machine Learning Female Predictive Value of Tests Risk Factors Atrial Fibrillation
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Machine learning to predict adverse drug events based on electronic health records: a systematic review and meta-analysis.

The Journal of international medical research Dec 1, 2024
OBJECTIVE: This systematic review aimed to provide a comprehensive overview of the application of machine learning (ML) in predicting multiple adverse drug events (ADEs) using electronic health record (EHR) data.
Area Under Curve Drug-Related Side Effects and Adverse Reactions Electronic Health Records Risk Factors ROC Curve Support Vector Machine Humans Machine Learning
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Prognostic Models Using Machine Learning Algorithms and Treatment Outcomes of Papillary Thyroid Carcinoma Variants.

Cancer reports (Hoboken, N.J.) Dec 1, 2024
BACKGROUND: Hürthle cell (HCC) and columnar cell variants (CCV) are rare subtypes of thyroid cancer.
Middle Aged Thyroidectomy Thyroid Neoplasms ROC Curve Female Aged Adult Male Treatment Outcome Neoplasm Staging Kaplan-Meier Estimate Thyroid Cancer, Papillary Humans Machine Learning Algorithms Prognosis Retrospective Studies Clinical Decision-Making
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Forme fruste keratoconus detection with OCT corneal topography using artificial intelligence algorithms.

Journal of cataract and refractive surgery Dec 1, 2024
PURPOSE: To differentiate a normal cornea from a forme fruste keratoconus (FFKC) with the swept-source optical coherence tomography (SS-OCT) topography CASIA 2 using machine learning artificial intelligence algorithms.
Humans Artificial Intelligence Algorithms Retrospective Studies Keratoconus Corneal Topography Tomography, Optical Coherence Female Young Adult Male Adult Middle Aged Cornea Case-Control Studies ROC Curve
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Fair prediction of 2-year stroke risk in patients with atrial fibrillation.

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2024
OBJECTIVE: This study aims to develop machine learning models that provide both accurate and equitable predictions of 2-year stroke risk for patients with atrial fibrillation across diverse racial groups.
ROC Curve Stroke Atrial Fibrillation Black or African American Aged Male Middle Aged Risk Assessment Racial Groups Machine Learning Humans Electronic Health Records Female Risk Factors
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Evaluation of a Deep Learning Model for Metastatic Squamous Cell Carcinoma Prediction From Whole Slide Images.

Archives of pathology & laboratory medicine Dec 1, 2024
CONTEXT.—: Squamous cell carcinoma (SCC) is a histologic type of cancer that exhibits various degrees of keratinization. Identifying lymph node metastasis in SCC is crucial for prognosis and treatment strategies. Although artificial intelligence (AI)...
ROC Curve Lymph Nodes Lymphatic Metastasis Lymph Node Excision Humans Carcinoma, Squamous Cell Deep Learning
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[Investigation of the impact of the deep learning based CT fractional flow reserve on clinical decision-making and long-term prognosis in patients with obstructive coronary heart disease].

Zhonghua xin xue guan bing za zhi Nov 24, 2024
To investigate the impact of the deep-learning-based CT fractional flow reserve (CT-FFR) on clinical decision-making and long-term prognosis in patients with obstructive coronary heart disease. In this single-center retrospective cohort study, cons...
Coronary Artery Disease Humans Clinical Decision-Making Computed Tomography Angiography Prognosis Female Middle Aged Fractional Flow Reserve, Myocardial Retrospective Studies Aged Deep Learning Tomography, X-Ray Computed Male ROC Curve Coronary Angiography
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Identification and validation of oxidative stress-related genes in primary open-angle glaucoma by weighted gene co-expression network analysis and machine learning.

Medicine Nov 15, 2024
Primary open-angle glaucoma (POAG) is a common ocular disease, and there is currently no effective treatment for POAG therapy. Thus, identifying some effective diagnostic markers is beneficial to the treatment of patients. The expression profile was ...
Oxidative Stress Humans ROC Curve Machine Learning Gene Regulatory Networks Glaucoma, Open-Angle Gene Expression Profiling
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Integrated machine learning developed a prognosis-related gene signature to predict prognosis in oesophageal squamous cell carcinoma.

Journal of cellular and molecular medicine Nov 1, 2024
The mortality rate of oesophageal squamous cell carcinoma (ESCC) remains high, and conventional TNM systems cannot accurately predict its prognosis, thus necessitating a predictive model. In this study, a 17-gene prognosis-related gene signature (PRS...
Gene Expression Regulation, Neoplastic Esophageal Neoplasms Kaplan-Meier Estimate Esophageal Squamous Cell Carcinoma Humans Aged Gene Expression Profiling Machine Learning Transcriptome Biomarkers, Tumor Algorithms ROC Curve Male Prognosis Middle Aged Female
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