AIMC Topic: Area Under Curve

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Predicting metabolic dysfunction associated steatotic liver disease using explainable machine learning methods.

Scientific reports Apr 11, 2025
Early and accurate identification of patients at high risk of metabolic dysfunction-associated steatotic liver disease (MASLD) is critical to prevent and improve prognosis potentially. We aimed to develop and validate an explainable prediction model ...
Humans Machine Learning Adult Cross-Sectional Studies Male Middle Aged Algorithms Female Risk Factors Aged Elasticity Imaging Techniques ROC Curve Fatty Liver Nutrition Surveys Area Under Curve
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Explainable machine learning model based on EEG, ECG, and clinical features for predicting neurological outcomes in cardiac arrest patient.

Scientific reports Apr 3, 2025
Early and accurate prediction of neurological outcomes in comatose patients following cardiac arrest is critical for informed clinical decision-making. Existing studies have predominantly focused on EEG for assessing brain injury, with some exploring...
Electroencephalography Female Middle Aged Humans Arrhythmias, Cardiac Machine Learning ROC Curve Heart Arrest Prognosis Aged Electrocardiography Coma Adult Area Under Curve Male
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Identifying chemotherapy beneficiaries in nasal and paranasal sinus cancers: epidemiological trends and machine learning insights.

European journal of medical research Apr 1, 2025
BACKGROUND: Studies on the epidemiological characteristics, treatment strategies and prognosis of nasal and paranasal sinus cancer are still relatively limited.
Humans Machine Learning Prognosis Female Incidence Aged Area Under Curve Aged, 80 and over Datasets as Topic Male Paranasal Sinus Neoplasms Middle Aged
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Machine learning approaches to injury risk prediction in sport: a scoping review with evidence synthesis.

British journal of sports medicine Mar 25, 2025
OBJECTIVE: This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy, considering factors such as data heterogeneity,...
Area Under Curve Athletic Injuries Humans Machine Learning Risk Assessment
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Predicting coronavirus disease 2019 severity using explainable artificial intelligence techniques.

Scientific reports Mar 19, 2025
Predictive models for determining coronavirus disease 2019 (COVID-19) severity have been established; however, the complexity of the interactions among factors limits the use of conventional statistical methods. This study aimed to establish a simple...
Adult Male Middle Aged COVID-19 Humans ROC Curve Severity of Illness Index Female Artificial Intelligence Logistic Models SARS-CoV-2 Machine Learning Area Under Curve Aged
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Construction of a machine learning-based interpretable prediction model for acute kidney injury in hospitalized patients.

Scientific reports Mar 18, 2025
In this observational study, we used data from 59,936 hospitalized adults to construct a model. For the models constructed with all 53 variables, all five models achieved acceptable performance with the validation cohort, with the extreme gradient bo...
Hospitalization Humans Middle Aged Aged Support Vector Machine Machine Learning Adult Area Under Curve Acute Kidney Injury Male Female Risk Factors
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Automated classification of panoramic radiographs with inflammatory periapical lesions using a CNN-LSTM architecture.

Journal of dentistry Mar 16, 2025
OBJECTIVES: Considering Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) network approaches have shown promising image classification performance, the aim of this study was to compare the performance of novel Convolutional Neural ...
Area Under Curve Radiography, Panoramic Periapical Diseases Sensitivity and Specificity Male Middle Aged Neural Networks, Computer ROC Curve Retrospective Studies Female Adult Humans
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Dementia Overdiagnosis in Younger, Higher Educated Individuals Based on MMSE Alone: Analysis Using Deep Learning Technology.

Journal of Korean medical science Mar 10, 2025
BACKGROUND: Dementia is a multifaceted disorder that affects cognitive function, necessitating accurate diagnosis for effective management and treatment. Although the Mini-Mental State Examination (MMSE) is widely used to assess cognitive impairment,...
Female Educational Status Aged Aged, 80 and over Male Middle Aged Deep Learning Cognitive Dysfunction Humans Medical Overuse Mental Status and Dementia Tests Dementia ROC Curve Area Under Curve Neuropsychological Tests
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An interpretable machine learning-assisted diagnostic model for Kawasaki disease in children.

Scientific reports Mar 7, 2025
Kawasaki disease (KD) is a syndrome of acute systemic vasculitis commonly observed in children. Due to its unclear pathogenesis and the lack of specific diagnostic markers, it is prone to being confused with other diseases that exhibit similar sympto...
Area Under Curve Algorithms Female Male Infant Child, Preschool Child ROC Curve Humans Mucocutaneous Lymph Node Syndrome Machine Learning
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An interpretable machine learning approach for detecting psoriatic arthritis in a UK primary care psoriasis cohort using electronic health records from the Clinical Practice Research Datalink.

Annals of the rheumatic diseases Mar 1, 2025
OBJECTIVES: Develop an interpretable machine learning model to detect patients with newly diagnosed psoriatic arthritis (PsA) in a cohort of psoriasis patients and identify important clinical indicators of PsA in primary care.
United Kingdom Middle Aged Cohort Studies ROC Curve Primary Health Care Psoriasis Arthritis, Psoriatic Area Under Curve Bayes Theorem Female Aged Adult Humans Male Machine Learning Electronic Health Records
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