AIMC Topic: ROC Curve

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Hand X-rays findings and a disease screening for Turner syndrome through deep learning model.

BMC pediatrics Mar 8, 2025
BACKGROUND: Turner syndrome (TS) is one of the important causes of short stature in girls, but there are cases of misdiagnosis and missed diagnosis in clinical practice. Our aim is to analyze the hand skeletal characteristics of TS patients and estab...
Child, Preschool Sensitivity and Specificity Child Case-Control Studies ROC Curve Hand Deep Learning Radiography Turner Syndrome Adolescent Humans Retrospective Studies Female
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Machine learning models compared with current clinical indices to predict the outcome of high flow nasal cannula therapy in acute hypoxemic respiratory failure.

Critical care (London, England) Mar 7, 2025
BACKGROUND: Early identification of patients with acute hypoxemic respiratory failure (AHRF) who are at risk of failing high-flow nasal cannula (HFNC) therapy could facilitate closer monitoring, and timely adjustment/escalation of treatment. We aimed...
Middle Aged Hypoxia Humans Intensive Care Units Oxygen Inhalation Therapy Brazil Female Machine Learning Cannula ROC Curve Aged Respiratory Insufficiency Male
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Prediction of STAS in lung adenocarcinoma with nodules ≤ 2 cm using machine learning: a multicenter retrospective study.

BMC cancer Mar 7, 2025
BACKGROUND AND OBJECTIVE: Spread through air spaces (STAS) is an important factor in determining the aggressiveness and recurrence risk of lung cancer, especially in early-stage adenocarcinoma. Preoperative identification of STAS is crucial for optim...
Lung Neoplasms Adenocarcinoma of Lung Male Middle Aged ROC Curve Machine Learning Retrospective Studies Humans Female Aged
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Early prediction of postpartum dyslipidemia in gestational diabetes using machine learning models.

Scientific reports Mar 7, 2025
This study addresses a gap in research on predictive models for postpartum dyslipidemia in women with gestational diabetes mellitus (GDM). The goal was to develop a machine learning-based model to predict postpartum dyslipidemia using early pregnancy...
Algorithms Pregnancy Humans ROC Curve Female Machine Learning Diabetes, Gestational Adult Dyslipidemias Postpartum Period
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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...
Male Humans ROC Curve Infant Machine Learning Mucocutaneous Lymph Node Syndrome Child, Preschool Algorithms Area Under Curve Child Female
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Machine learning enhanced immunologic risk assessments for solid organ transplantation.

Scientific reports Mar 7, 2025
The purpose of this study was to enhance the prediction of solid-organ recipient and donor crossmatch compatibility by applying machine learning (ML). Prediction of crossmatch compatibility is complex and requires an understanding of the recipient an...
Histocompatibility Testing Humans Machine Learning Risk Assessment Organ Transplantation ROC Curve HLA Antigens Tissue Donors Alleles
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Prognostic model for log odds of negative lymph node in locally advanced rectal cancer via interpretable machine learning.

Scientific reports Mar 7, 2025
No studies have examined the prognostic value of the log odds of negative lymph nodes/T stage (LONT) in locally advanced rectal cancer (LARC) treated with neoadjuvant chemoradiotherapy (nCRT). We aimed to assess the prognostic value of LONT and devel...
Lymphatic Metastasis Neoplasm Staging Rectal Neoplasms Disease-Free Survival Female Aged Adult Male Middle Aged ROC Curve Lymph Nodes Neoadjuvant Therapy Humans Machine Learning Prognosis
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Screening and validating genes associated with cuproptosis in systemic lupus erythematosus by expression profiling combined with machine learning.

Biomolecules & biomedicine Mar 7, 2025
Cell death has long been a focal point in life sciences research, and recently, scientists have discovered a novel form of cell death induced by copper, termed cuproptosis. This paper aimed to identify genes associated with cuproptosis in systemic lu...
Transcriptome Humans ROC Curve Machine Learning Single-Cell Analysis Lupus Erythematosus, Systemic Female Databases, Genetic Gene Expression Profiling Copper
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Comparison of Machine Learning Algorithms Identifying Children at Increased Risk of Out-of-Home Placement: Development and Practical Considerations.

Health services research Mar 6, 2025
OBJECTIVE: To develop a machine learning (ML) algorithm capable of identifying children at risk of out-of-home placement among a Medicaid-insured population.
Risk Assessment Infant Adolescent Child, Preschool Algorithms Retrospective Studies Foster Home Care Humans Female Medicaid Machine Learning Male Ohio Child Accountable Care Organizations ROC Curve Logistic Models United States
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Development and Validation of an Electronic Health Record-Based, Pediatric Acute Respiratory Distress Syndrome Subphenotype Classifier Model.

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies Mar 6, 2025
OBJECTIVE: To determine if hyperinflammatory and hypoinflammatory pediatric acute respiratory distress syndrome (PARDS) subphenotypes defined using serum biomarkers can be determined solely from electronic health record (EHR) data using machine learn...
Humans Machine Learning Phenotype Biomarkers Infant Adolescent Child, Preschool Child Retrospective Studies Electronic Health Records Female Male Intensive Care Units, Pediatric ROC Curve Respiratory Distress Syndrome
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