AIMC Topic: Case-Control Studies

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Exploring the role of breastfeeding, antibiotics, and indoor environments in preschool children atopic dermatitis through machine learning and hygiene hypothesis.

Scientific reports Mar 21, 2025
The increasing global incidence of atopic dermatitis (AD) in children, especially in Western industrialized nations, has attracted considerable attention. The hygiene hypothesis, which posits that early pathogen exposure is crucial for immune system ...
Risk Factors Humans Child, Preschool Machine Learning Breast Feeding Male Anti-Bacterial Agents Prevalence Dermatitis, Atopic Female Case-Control Studies Hygiene Hypothesis
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Rapid, non-invasive breath analysis for enhancing detection of silicosis using mass spectrometry and interpretable machine learning.

Journal of breath research Mar 21, 2025
Occupational lung diseases, such as silicosis, are a significant global health concern, especially with increasing exposure to engineered stone dust. Early detection of silicosis is helpful for preventing disease progression, but existing diagnostic ...
Volatile Organic Compounds Aged Adult Humans Case-Control Studies Male Breath Tests Machine Learning Middle Aged ROC Curve Female Silicosis Mass Spectrometry
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A machine learning model based on placental magnetic resonance imaging and clinical factors to predict fetal growth restriction.

BMC pregnancy and childbirth Mar 20, 2025
OBJECTIVES: To create a placental radiomics-clinical machine learning model to predict FGR.
Magnetic Resonance Imaging Female Humans Predictive Value of Tests Machine Learning Fetal Growth Retardation Adult Placenta Retrospective Studies Case-Control Studies Gestational Age Pregnancy Nomograms
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Circulating lncRNAs as biomarkers for severe dengue using a machine learning approach.

The Journal of infection Mar 14, 2025
OBJECTIVES: Dengue virus (DENV) infection is a significant global health concern, causing severe morbidity and mortality. While many cases present as a mild febrile illness, some progress to life-threatening severe dengue (SD). Early intervention is ...
Vietnam Female Young Adult Adult Sensitivity and Specificity Male RNA, Long Noncoding Humans Middle Aged Dengue Virus Machine Learning Case-Control Studies Dengue Biomarkers Adolescent Severe Dengue
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Patellar tilt calculation utilizing artificial intelligence on CT knee imaging.

The Knee Mar 13, 2025
BACKGROUND: In the diagnosis of patellar instability, three-dimensional (3D) imaging enables measurement of a wide range of metrics. However, measuring these metrics can be time-consuming and prone to error due to conducting 2D measurements on 3D obj...
Algorithms Tomography, X-Ray Computed Female Young Adult Humans Artificial Intelligence Imaging, Three-Dimensional Knee Joint Patella Adult Joint Instability Male Patellar Dislocation Case-Control Studies Adolescent
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Machine learning-derived diagnostic model of epithelial ovarian cancer based on gut microbiome signatures.

Journal of translational medicine Mar 13, 2025
BACKGROUND: Prior studies have elucidated that alterations in gut microbiota are associated with a spectrum of tumors and metabolic disorders. However, the diagnostic value of gut microbiota in epithelial ovarian cancer remains insufficiently investi...
Humans Machine Learning Female Adult Middle Aged Case-Control Studies Feces Models, Biological Gastrointestinal Microbiome Carcinoma, Ovarian Epithelial RNA, Ribosomal, 16S Metabolomics Ovarian Neoplasms
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Development and validation of an interpretable machine learning model for predicting the risk of hepatocellular carcinoma in patients with chronic hepatitis B: a case-control study.

BMC gastroenterology Mar 11, 2025
BACKGROUND: The aim of this study was to develop and internally validate an interpretable machine learning (ML) model for predicting the risk of hepatocellular carcinoma (HCC) in patients with chronic hepatitis B (CHB) infection.
Hepatitis B, Chronic Machine Learning ROC Curve Retrospective Studies Liver Neoplasms Humans Female Middle Aged Carcinoma, Hepatocellular Neural Networks, Computer Risk Assessment Risk Factors Logistic Models Case-Control Studies Adult Male
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Predicting pregnancy at the first year following metabolic-bariatric surgery: development and validation of machine learning models.

Surgical endoscopy Mar 10, 2025
BACKGROUND: Metabolic-bariatric surgery (MBS) is the last effective way to lose weight whom around half of the patients are women of reproductive age. It is recommended an interval of 12 months between surgery and pregnancy to optimize weight loss an...
Adult Case-Control Studies Decision Trees Bariatric Surgery Humans Machine Learning Pregnancy Female Obesity, Morbid
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Trans-ancestral rare variant association study with machine learning-based phenotyping for metabolic dysfunction-associated steatotic liver disease.

Genome biology Mar 10, 2025
BACKGROUND: Genome-wide association studies (GWAS) have identified common variants associated with metabolic dysfunction-associated steatotic liver disease (MASLD). However, rare coding variant studies have been limited by phenotyping challenges and ...
Female Male Middle Aged Case-Control Studies Genome-Wide Association Study Genetic Predisposition to Disease Polymorphism, Single Nucleotide Fatty Liver Humans Machine Learning Phenotype
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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...
Sensitivity and Specificity Case-Control Studies Deep Learning Adolescent Child, Preschool Humans Retrospective Studies Female Turner Syndrome Child ROC Curve Radiography Hand
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