AIMC Topic: Case-Control Studies

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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 Predictive Value of Tests Placenta Female Gestational Age Adult Case-Control Studies Humans Nomograms Machine Learning Retrospective Studies Pregnancy Fetal Growth Retardation
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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 ...
Middle Aged Case-Control Studies Adolescent RNA, Long Noncoding Machine Learning Humans Young Adult Biomarkers Dengue Virus Adult Female Dengue Sensitivity and Specificity Severe Dengue Male Vietnam
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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...
Artificial Intelligence Algorithms Tomography, X-Ray Computed Female Young Adult Humans Imaging, Three-Dimensional Knee Joint Patella Joint Instability Patellar Dislocation Adult Male 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...
Metabolomics Ovarian Neoplasms Models, Biological Carcinoma, Ovarian Epithelial Humans Case-Control Studies Machine Learning Feces Female Gastrointestinal Microbiome Adult RNA, Ribosomal, 16S Middle Aged
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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.
Humans Neural Networks, Computer Machine Learning Retrospective Studies Adult Male Middle Aged Female Risk Factors Carcinoma, Hepatocellular Logistic Models Risk Assessment Hepatitis B, Chronic Case-Control Studies ROC Curve Liver Neoplasms
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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...
Obesity, Morbid Adult Case-Control Studies Decision Trees Bariatric Surgery Humans Machine Learning Pregnancy Female
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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 ...
Phenotype Female Male Middle Aged Genetic Predisposition to Disease Humans Polymorphism, Single Nucleotide Case-Control Studies Machine Learning Fatty Liver Genome-Wide Association Study
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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...
Turner Syndrome Child ROC Curve Radiography Hand Humans Retrospective Studies Female Deep Learning Adolescent Child, Preschool Sensitivity and Specificity Case-Control Studies
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Circulating CCN6/WISP3 in type 2 diabetes mellitus patients and its correlation with insulin resistance and inflammation: statistical and machine learning analyses.

BMC medical informatics and decision making Mar 6, 2025
INTRODUCTION: Cellular Communication Network Factor 6 (CCN6) is an adipokine whose production undergoes significant alterations in metabolic disorders. Given the well-established link between obesity-induced adipokine dysfunction and the development ...
Humans Machine Learning Biomarkers Female Diabetes Mellitus, Type 2 Insulin Resistance Inflammation Iran Adult Male Middle Aged Case-Control Studies
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Preprocessing of natural language process variables using a data-driven method improves the association with suicide risk in a large veterans affairs population.

Computers in biology and medicine Mar 5, 2025
OBJECTIVE: Suicide risk assessment has historically relied heavily on clinical evaluations and patient self-reports. Natural language processing (NLP) of electronic health records (EHRs) provides an alternative approach for extracting risk predictors...
Humans Suicide, Completed Predictive Learning Models Psychological Well-Being Risk Assessment Case-Control Studies Adolescent Suicide Prevention United States Department of Veterans Affairs Veterans United States Department of Defense Electronic Health Records United States Young Adult Female Natural Language Processing Adult Aged Male Aged, 80 and over Middle Aged
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