AIMC Topic: ROC Curve

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MRI radiomics based on machine learning in high-grade gliomas as a promising tool for prediction of CD44 expression and overall survival.

Scientific reports Mar 3, 2025
We aimed to predict CD44 expression and assess its prognostic significance in patients with high-grade gliomas (HGG) using non-invasive radiomics models based on machine learning. Enhanced magnetic resonance imaging, along with the corresponding gene...
Male Middle Aged ROC Curve Glioma Support Vector Machine Adult Radiomics Biomarkers, Tumor Brain Neoplasms Magnetic Resonance Imaging Neoplasm Grading Kaplan-Meier Estimate Hyaluronan Receptors Humans Machine Learning Prognosis Female Aged
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Interpretable machine learning model for early morbidity risk prediction in patients with sepsis-induced coagulopathy: a multi-center study.

Frontiers in immunology Mar 3, 2025
BACKGROUND: Sepsis-induced coagulopathy (SIC) is a complex condition characterized by systemic inflammation and coagulopathy. This study aimed to develop and validate a machine learning (ML) model to predict SIC risk in patients with sepsis.
Risk Assessment Sepsis ROC Curve Female Humans Blood Coagulation Disorders Risk Factors Machine Learning Aged Retrospective Studies Male Intensive Care Units Middle Aged
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Predicting 30-day mortality in hemophagocytic lymphohistiocytosis: clinical features, biochemical parameters, and machine learning insights.

Annals of hematology Mar 1, 2025
This study aims to evaluate the clinical characteristics and biochemical parameters of hemophagocytic lymphohistiocytosis (HLH) patients to predict 30-day mortality. Parameters analyzed include lymphocyte count (L), platelet count (PLT), total protei...
Machine Learning Prognosis Retrospective Studies Female Young Adult Humans Lymphohistiocytosis, Hemophagocytic Adult Male Middle Aged Adolescent Child, Preschool Child ROC Curve Nomograms Platelet Count
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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.
Arthritis, Psoriatic Area Under Curve Bayes Theorem United Kingdom Cohort Studies ROC Curve Primary Health Care Humans Psoriasis Machine Learning Female Electronic Health Records Aged Adult Male Middle Aged
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Automated Detection of Keratorefractive Laser Surgeries on Optical Coherence Tomography Using Deep Learning.

Journal of refractive surgery (Thorofare, N.J. : 1995) Mar 1, 2025
PURPOSE: To report a deep learning neural network on anterior segment optical coherence tomography (AS-OCT) for automated detection of different keratorefractive laser surgeries-including laser in situ keratomileusis with femtosecond microkeratome (f...
Photorefractive Keratectomy Keratomileusis, Laser In Situ Lasers, Excimer Hyperopia Male Humans Myopia Deep Learning ROC Curve Neural Networks, Computer Tomography, Optical Coherence Algorithms Female Adult
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Development and multi-center cross-setting validation of an explainable prediction model for sarcopenic obesity: a machine learning approach based on readily available clinical features.

Aging clinical and experimental research Mar 1, 2025
OBJECTIVES: Sarcopenic obesity (SO), characterized by the coexistence of obesity and sarcopenia, is an increasingly prevalent condition in aging populations, associated with numerous adverse health outcomes. We aimed to identify and validate an expla...
Humans China Machine Learning ROC Curve Female Support Vector Machine Aged Obesity Aged, 80 and over Sarcopenia Male
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Machine Learning-Based Identification of Novel Exosome-Derived Metabolic Biomarkers for the Diagnosis of Systemic Lupus Erythematosus and Differentiation of Renal Involvement.

Current medical science Feb 28, 2025
OBJECTIVE: This study aims to investigate the exosome-derived metabolomics profiles in systemic lupus erythematosus (SLE), identify differential metabolites, and analyze their potential as diagnostic markers for SLE and lupus nephritis (LN).
Adult Male Middle Aged Case-Control Studies ROC Curve Support Vector Machine Metabolomics Diagnosis, Differential Lupus Nephritis Humans Machine Learning Biomarkers Female Lupus Erythematosus, Systemic Exosomes Tandem Mass Spectrometry
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Preoperative diagnosis of meningioma sinus invasion based on MRI radiomics and deep learning: a multicenter study.

Cancer imaging : the official publication of the International Cancer Imaging Society Feb 28, 2025
OBJECTIVE: Exploring the construction of a fusion model that combines radiomics and deep learning (DL) features is of great significance for the precise preoperative diagnosis of meningioma sinus invasion.
ROC Curve Magnetic Resonance Imaging Neoplasm Invasiveness Preoperative Care Radiomics Humans Meningeal Neoplasms Meningioma Male Retrospective Studies Cranial Sinuses Middle Aged Female Deep Learning Aged Adult
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Predicting outcomes of expectant and medical management in early pregnancy miscarriage using machine learning to develop and validate multivariable clinical prediction models.

BMC pregnancy and childbirth Feb 28, 2025
OBJECTIVE: To determine whether readily available patient, ultrasound and treatment outcome data can be used to develop, validate and externally test two machine learning (ML) models for predicting the success of expectant and medical management of m...
Retrospective Studies Pregnancy Female Adult Humans Abortion, Spontaneous ROC Curve Machine Learning Area Under Curve Bayes Theorem Pregnancy Trimester, First Watchful Waiting
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Machine Learning-Based Mortality Prediction for Acute Gastrointestinal Bleeding Patients Admitted to Intensive Care Unit.

Current medical science Feb 27, 2025
OBJECTIVE: The study aimed to develop machine learning (ML) models to predict the mortality of patients with acute gastrointestinal bleeding (AGIB) in the intensive care unit (ICU) and compared their prognostic performance with that of Acute Physiolo...
Aged Machine Learning Area Under Curve Male Algorithms Humans Acute Disease Middle Aged Prognosis APACHE Hospital Mortality Gastrointestinal Hemorrhage Intensive Care Units ROC Curve Female
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