AIMC Topic: ROC Curve

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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...
Biomarkers Prognosis Female SARS-CoV-2 Hospitalization Humans Machine Learning COVID-19 Algorithms Brazil Severity of Illness Index ROC Curve Monocytes Blood Cell Count Aged Adult Male Middle Aged
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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 ...
Longitudinal Studies Humans Machine Learning China Algorithms Depression Female ROC Curve Aged Logistic Models Male Support Vector Machine
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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...
Computational Biology Gene Expression Regulation, Neoplastic DNA Copy Number Variations Male Gene Expression Profiling Algorithms ROC Curve Humans Prognosis Gene Regulatory Networks Machine Learning Female Colorectal Neoplasms Biomarkers, Tumor
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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.
Postoperative Complications Adolescent ROC Curve Decision Trees Keloid Recurrence Predictive Learning Models Female Adult Male Middle Aged Humans Machine Learning Prognosis
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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.
Humans Machine Learning Regression Analysis Emergency Service, Hospital Registries Norepinephrine Male Retrospective Studies Middle Aged Intensive Care Units Risk Assessment Female ROC Curve Aged Shock, Septic
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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...
Emergency Service, Hospital Respiratory Insufficiency Adult Male Middle Aged ROC Curve Humans Neural Networks, Computer Artificial Intelligence Female Aged
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Development and Validation of a Novel Model to Discriminate Idiosyncratic Drug-Induced Liver Injury and Autoimmune Hepatitis.

Liver international : official journal of the International Association for the Study of the Liver Feb 1, 2025
BACKGROUND AND AIM: Discriminating between idiosyncratic drug-induced liver injury (DILI) and autoimmune hepatitis (AIH) is critical yet challenging. We aim to develop and validate a machine learning (ML)-based model to aid in this differentiation.
Hepatitis, Autoimmune Chemical and Drug Induced Liver Injury ROC Curve Decision Trees Diagnosis, Differential Aspartate Aminotransferases Algorithms Prospective Studies Retrospective Studies Female Aged Adult Male Middle Aged China Humans Machine Learning
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Constructing a Predictive Model for Psychological Distress of Young- and Middle-Aged Gynaecological Cancer Patients.

Journal of evaluation in clinical practice Feb 1, 2025
BACKGROUND: Cancer patients experience substantial psychological distress which causes the reduction of the quality of life. However, the risk of psychological distress has not been well predicted especially in young- and middle-aged gynaecological c...
Humans Neural Networks, Computer Female Middle Aged Quality of Life Self Efficacy Stress, Psychological ROC Curve Risk Factors Young Adult Adult Cross-Sectional Studies Logistic Models Age Factors Genital Neoplasms, Female Psychological Distress
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ASSESSMENT OF ARTIFICIAL INTELLIGENCE SOFTWARE FOR AUTOMATIC SCREENING OF DIABETIC RETINOPATHY BASED ON FUNDUS PHOTOGRAPHS IN MELANODERM SUBJECTS.

Retina (Philadelphia, Pa.) Feb 1, 2025
PURPOSE: To assess the Gaiha Prio Retino +™ Artificial Intelligence (AI) software for detecting diabetic retinopathy (DR).
Female Humans Male Aged Diabetic Retinopathy Artificial Intelligence Middle Aged Adult Software ROC Curve Sensitivity and Specificity Prospective Studies Fundus Oculi Photography
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Identification of DNA damage repair-related genes in sepsis using bioinformatics and machine learning: An observational study.

Medicine Jan 31, 2025
Sepsis is a life-threatening disease with a high mortality rate, for which the pathogenetic mechanism still unclear. DNA damage repair (DDR) is essential for maintaining genome integrity. This study aimed to explore the role of DDR-related genes in t...
Cell Cycle Proteins ROC Curve Computational Biology DNA Repair Nomograms Humans DNA Damage Machine Learning Biomarkers Sepsis
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