AIMC Topic: Logistic Models

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Development and validation of supervised machine learning multivariable prediction models for the diagnosis of Pneumocystis jirovecii pneumonia using nasopharyngeal swab PCR in adults in a low-HIV prevalence setting.

International health Sep 3, 2025
BACKGROUND: The global burden of the opportunistic fungal disease Pneumocystis jirovecii pneumonia (PJP) remains substantial. Polymerase chain reaction (PCR) on nasopharyngeal swabs (NPS) has high specificity and may be a viable alternative to the go...
Sensitivity and Specificity Male Middle Aged Prevalence Humans Female Aged Adult HIV Infections Logistic Models Australia Supervised Machine Learning Polymerase Chain Reaction Pneumonia, Pneumocystis Nasopharynx Pneumocystis carinii
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Combining structural equation modeling analysis with machine learning for early malignancy detection in Bethesda Category III thyroid nodules.

Artificial intelligence in medicine Sep 1, 2025
Atypia of Undetermined Significance (AUS), classified as Category III in the Bethesda Thyroid Cytopathology Reporting System, presents significant diagnostic challenges for clinicians. This study aims to develop a clinical decision support system tha...
Decision Trees Bayes Theorem Biopsy, Fine-Needle Decision Support Systems, Clinical Logistic Models Support Vector Machine Early Detection of Cancer Aged Adult Male Middle Aged Latent Class Analysis Thyroid Neoplasms Ultrasonography Thyroid Nodule Humans Machine Learning Retrospective Studies Female
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Predicting prolonged hospitalization in asthma patients: model development and external validation.

The Journal of asthma : official journal of the Association for the Care of Asthma Sep 1, 2025
PURPOSE: This study aims to develop and validate a machine learning (ML) model to predict prolonged hospitalization in asthma patients.
Middle Aged Length of Stay ROC Curve Logistic Models United States Age Factors Aged Adult Asthma Male Machine Learning Humans Retrospective Studies Female Hospitalization
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[Development of a machine learning-based diagnostic model for T-shaped uterus using transvaginal 3D ultrasound quantitative parameters].

Zhonghua yi xue za zhi Aug 12, 2025
To develop a machine learning diagnostic model for T-shaped uterus based on quantitative parameters from 3D transvaginal ultrasound. A retrospective cross-sectional study was conducted, recruiting 304 patients who visited the hysteroscopy centre of...
Humans Female Imaging, Three-Dimensional Machine Learning Logistic Models Adult Retrospective Studies Cross-Sectional Studies Support Vector Machine Ultrasonography Uterus
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Prediction Model for Insulin Resistance and Implications for MASLD in Youth: A Novel Marker, the Pediatric Insulin Resistance Assessment Score.

Yonsei medical journal Aug 1, 2025
PURPOSE: Insulin resistance (IR) is a condition closely associated with cardiovascular risk factors and metabolic dysfunction-associated steatotic liver disease (MASLD) is emerging as a significant IR-related complication. We aimed to develop a predi...
Humans Adolescent Child Insulin Resistance Fatty Liver Biomarkers Female Risk Factors Male Alanine Transaminase Logistic Models Nomograms Body Mass Index Waist Circumference
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ADEPT: An advanced data exploration and processing tool for clinical data insights.

Computer methods and programs in biomedicine Aug 1, 2025
BACKGROUND AND OBJECTIVE: The rapid growth of clinical data creates challenges in analysis and interpretation for medical professionals. To address these issues, we developed the Advanced Data Exploration and Processing Tool (ADEPT), integrating data...
Cluster Analysis Area Under Curve Data Mining Software Humans Algorithms Machine Learning Logistic Models Support Vector Machine
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The impact of clinical history on the predictive performance of machine learning and deep learning models for renal complications of diabetes.

Computer methods and programs in biomedicine Aug 1, 2025
BACKGROUND AND OBJECTIVE: Diabetes is a chronic disease characterised by a high risk of developing diabetic nephropathy. The early identification of individuals at heightened risk of such complications or their exacerbation can be crucial to set a co...
Glomerular Filtration Rate Humans Deep Learning Proportional Hazards Models Female Neural Networks, Computer Diabetes Mellitus, Type 2 Aged Diabetic Nephropathies Machine Learning Male Logistic Models Retrospective Studies Middle Aged
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Causal insights from clinical information in radiology: Enhancing future multimodal AI development.

Computer methods and programs in biomedicine Aug 1, 2025
PURPOSE: This study investigates the causal mechanisms underlying radiology report generation by analyzing how clinical information and prior imaging examinations contribute to annotation shifts. We systematically estimate why and how biases manifest...
Humans Neural Networks, Computer Radiology Artificial Intelligence Databases, Factual Radiography, Thoracic Retrospective Studies Propensity Score Logistic Models
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A lightweight graph neural network to predict long-term mortality in coronary artery disease patients: an interpretable causality-aware approach.

Journal of biomedical informatics Jul 1, 2025
BACKGROUND: Coronary artery disease (CAD) causes substantial death toll in the United States and worldwide. While traditional methods for CAD mortality prediction are based on established risk factors, they have significant limitations in accuracy, a...
Humans Neural Networks, Computer Coronary Artery Disease Graph Neural Networks Male Middle Aged Machine Learning Risk Assessment Female Logistic Models Risk Factors Aged
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Comparing logistic regression and machine learning for obesity risk prediction: A systematic review and meta-analysis.

International journal of medical informatics Jul 1, 2025
BACKGROUND: Logistic regression (LR) has traditionally been the standard method used for predicting binary health outcomes; however, machine learning (ML) methods are increasingly popular.
Humans Risk Assessment Machine Learning Logistic Models Algorithms Obesity Area Under Curve
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