AIMC Topic: Case-Control Studies

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Multifactor dimensionality reduction analysis to elucidate the cross-talk between one-carbon and xenobiotic metabolic pathways in multi-disease models.

Molecular biology reports Feb 4, 2015
Putatively functional polymorphisms of one-carbon and xenobiotic metabolic pathways influence susceptibility for wide spectrum of diseases. The current study was aimed to explore gene-gene interactions among these two metabolic pathways in four disea...
Oxidoreductases Humans Sex Factors Metabolic Networks and Pathways Female Transferases Datasets as Topic Gene Expression Regulation Factor Analysis, Statistical Multifactor Dimensionality Reduction Epistasis, Genetic Breast Neoplasms Lupus Erythematosus, Systemic Xenobiotics Genetic Predisposition to Disease Male Coronary Artery Disease Polymorphism, Single Nucleotide Case-Control Studies Carbon Parkinson Disease
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Validation of electronic health record phenotyping of bipolar disorder cases and controls.

The American journal of psychiatry Dec 12, 2014
OBJECTIVE: The study was designed to validate use of electronic health records (EHRs) for diagnosing bipolar disorder and classifying control subjects.
Phenotype Electronic Health Records Female Reproducibility of Results Aged Adult Humans Predictive Value of Tests Sensitivity and Specificity Middle Aged Algorithms Male Natural Language Processing Case-Control Studies Bipolar Disorder Cohort Studies
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Exploring the dynamics of design fluency in children with and without ADHD using artificial neural networks.

Child neuropsychology : a journal on normal and abnormal development in childhood and adolescence Dec 11, 2014
The neuropsychology of attention deficit/hyperactivity disorder (ADHD) has been extensively studied, with a general focus on global performance measures of executive function. In this study, we compared how global (i.e., endpoint) versus process (i.e...
Female Male Case-Control Studies Child Attention Deficit Disorder with Hyperactivity Humans Cognition Executive Function Neural Networks, Computer Neuropsychological Tests
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Machine learning algorithms and forced oscillation measurements to categorise the airway obstruction severity in chronic obstructive pulmonary disease.

Computer methods and programs in biomedicine Nov 22, 2014
The purpose of this study was to develop automatic classifiers to simplify the clinical use and increase the accuracy of the forced oscillation technique (FOT) in the categorisation of airway obstruction level in patients with chronic obstructive pul...
Severity of Illness Index Case-Control Studies Humans Artificial Intelligence Algorithms Pulmonary Disease, Chronic Obstructive
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Association between exposure to air pollution and kidney function decline.

Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association Dec 23, 2025
BACKGROUND AND HYPOTHESIS: Chronic kidney disease is a major global health concern, with air pollution increasingly recognized as a key contributor to kidney function decline. This study hypothesizes that exposure to air pollution accelerates kidney ...
Particulate Matter Environmental Exposure Middle Aged Case-Control Studies Renal Insufficiency, Chronic Risk Factors Glomerular Filtration Rate Kidney Function Tests Humans Aged Prognosis Adult Follow-Up Studies Female Male Air Pollutants Air Pollution
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Artificial intelligence predicts pregnancy complications based on cytokine profiles.

The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians Dec 1, 2025
BACKGROUND: Early prediction of pregnancy complications is important for adequate and timely prevention, management, and reducing maternal/fetal pathogenesis.
Adult Prognosis Humans Case-Control Studies Pregnancy Pregnancy Complications Artificial Intelligence Female Machine Learning Young Adult Cytokines
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Predictive efficacy of machine-learning algorithms on intrahepatic cholestasis of pregnancy based on clinical and laboratory indicators.

The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians Dec 1, 2025
OBJECTIVES: Intrahepatic cholestasis of pregnancy (ICP), a condition exclusive to pregnancy, necessitates prompt identification and intervention to improve the perinatal outcomes. This study aims to develop suitable machine-learning models for predic...
Support Vector Machine Predictive Value of Tests Cholestasis, Intrahepatic Pregnancy Complications Pregnancy Female Adult Case-Control Studies Humans Neural Networks, Computer Machine Learning Algorithms Retrospective Studies
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Cardiac amyloidosis detection from a single echocardiographic video clip: a novel artificial intelligence-based screening tool.

European heart journal Oct 22, 2025
BACKGROUND AND AIMS: Accurate differentiation of cardiac amyloidosis (CA) from phenotypic mimics remains challenging using current clinical and echocardiographic techniques. The accuracy of a novel artificial intelligence (AI) screening algorithm for...
Humans Neural Networks, Computer Artificial Intelligence Algorithms Middle Aged Case-Control Studies Amyloidosis Cardiomyopathies Female Aged Male Echocardiography Amyloid Neuropathies, Familial
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Machine Learning-Based Biomarker Identification for Early Diagnosis of Metabolic Dysfunction-Associated Steatotic Liver Disease.

The Journal of clinical endocrinology and metabolism Oct 16, 2025
CONTEXT: Metabolic dysfunction-associated steatotic liver disease (MASLD) is an umbrella term for simple hepatic steatosis and the more severe metabolic dysfunction-associated steatohepatitis. The current reliance on liver biopsy for diagnosis and a ...
Biomarkers Female Aged Adult Humans Machine Learning Liver Cirrhosis Nutrition Surveys Early Diagnosis Metabolic Diseases Elasticity Imaging Techniques Male Middle Aged Case-Control Studies Fatty Liver
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Analysis and characterization of extrachromosomal circular DNA in prostate cancer: Potential biomarker discovery from urine, plasma, and tumor samples.

Cancer letters Sep 28, 2025
Extrachromosomal circular DNA (eccDNA) may contribute to genomic rearrangements and tumor heterogeneity, playing a role in cancer development and progression. This study evaluates eccDNA as a biomarker for prostate cancer by characterizing its profil...
Middle Aged Case-Control Studies Prostatic Neoplasms DNA, Circular Humans Aged Biomarkers, Tumor Male
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