AIMC Topic: Case-Control Studies

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An improved fuzzy set-based multifactor dimensionality reduction for detecting epistasis.

Artificial intelligence in medicine Nov 22, 2019
OBJECTIVE: Epistasis identification is critical for determining susceptibility to human genetic diseases. The rapid development of technology has enabled scalability to make multifactor dimensionality reduction (MDR) measurements an effective calcula...
Multifactor Dimensionality Reduction Fuzzy Logic Drug Resistance, Multiple Drug Resistance Epistasis, Genetic Humans Artificial Intelligence Algorithms Case-Control Studies Genotype Models, Genetic
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The diagnostic and prognostic roles of serum irisin in bladder cancer.

Current problems in cancer Nov 20, 2019
BACKGROUND: Egypt is among the countries with the highest incidence of bladder cancer (BC). Adipokines involved in BC development. This study aimed to examine the diagnostic and prognostic roles of irisin in BC through its function as an adipokine.
Survival Rate Biomarkers, Tumor Male Middle Aged Case-Control Studies Humans Prognosis Follow-Up Studies Urinary Bladder Neoplasms Female Fibronectins Aged Adult
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Deep learning modeling using normal mammograms for predicting breast cancer risk.

Medical physics Nov 19, 2019
PURPOSE: To investigate two deep learning-based modeling schemes for predicting short-term risk of developing breast cancer using prior normal screening digital mammograms in a case-control setting.
Humans Retrospective Studies Female Aged Aged, 80 and over Case-Control Studies Adult Deep Learning Breast Neoplasms Cohort Studies Middle Aged Models, Theoretical Risk Assessment Mammography
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Genetic Variation in Cytochrome P450 2R1 and Vitamin D Binding Protein Genes are associated with Vitamin D Deficiency in Adolescents.

International journal for vitamin and nutrition research. Internationale Zeitschrift fur Vitamin- und Ernahrungsforschung. Journal international de vitaminologie et de nutrition Nov 15, 2019
Genome Wide Association Studies (GWAS) have evaluated several genes related to vitamin D synthesis, metabolism and transport. They have proposed a genetic basis for low levels of vitamin D in the blood. The current study aims to investigate the rela...
Genotype Vitamin D Vitamin D Deficiency Adolescent Cholestanetriol 26-Monooxygenase Iran Humans Genome-Wide Association Study Cytochrome P-450 Enzyme System Female Genetic Predisposition to Disease Cytochrome P450 Family 2 Male Polymorphism, Single Nucleotide Vitamin D-Binding Protein Case-Control Studies
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Automated detection of focal cortical dysplasia using a deep convolutional neural network.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Nov 13, 2019
Focal cortical dysplasia (FCD) is one of the commonest epileptogenic lesions, and is related to malformations of the cortical development. The findings on magnetic resonance (MR) images are important for the diagnosis and surgical planning of FCD. In...
Case-Control Studies Imaging, Three-Dimensional Image Processing, Computer-Assisted Magnetic Resonance Imaging Malformations of Cortical Development Humans Neural Networks, Computer Retrospective Studies
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Non-invasive diagnosis of non-alcoholic steatohepatitis and fibrosis with the use of omics and supervised learning: A proof of concept study.

Metabolism: clinical and experimental Nov 9, 2019
BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) affects 25-30% of the general population and is characterized by the presence of non-alcoholic fatty liver (NAFL) that can progress to non-alcoholic steatohepatitis (NASH), liver fibrosis and cirr...
Humans Fatty Liver Liver Cirrhosis Metabolomics Lipids Polysaccharides Female Male Middle Aged Case-Control Studies Supervised Machine Learning Non-alcoholic Fatty Liver Disease Fatty Acids Proof of Concept Study
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Analysis of nonstandardized stress echocardiography sequences using multiview dimensionality reduction.

Medical image analysis Nov 6, 2019
Alternative stress echocardiography protocols such as handgrip exercise are potentially more favorable towards large-scale screening scenarios than those currently adopted in clinical practice. However, these are still underexplored because the maxim...
Discriminant Analysis Heart Rate Echocardiography, Stress Adenine Nucleotide Translocator 1 Male Cardiovascular Diseases Case-Control Studies Hand Strength Humans Machine Learning Female Young Adult
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Quantitative susceptibility mapping based hybrid feature extraction for diagnosis of Parkinson's disease.

NeuroImage. Clinical Nov 5, 2019
Parkinson's disease is the second most common neurodegenerative disease in the elderly after Alzheimer's disease. The aetiology and pathogenesis of Parkinson's disease (PD) are still unclear, but the loss of dopaminergic cells and the excessive iron ...
Humans Neural Networks, Computer Parkinson Disease Male Machine Learning Iron Middle Aged Substantia Nigra Brain Case-Control Studies Female Image Processing, Computer-Assisted Aged Magnetic Resonance Imaging
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Machine Learning Models for Analysis of Vital Signs Dynamics: A Case for Sepsis Onset Prediction.

Journal of healthcare engineering Nov 3, 2019
OBJECTIVE: Achieving accurate prediction of sepsis detection moment based on bedside monitor data in the intensive care unit (ICU). A good clinical outcome is more probable when onset is suspected and treated on time, thus early insight of sepsis ons...
Adolescent Support Vector Machine Area Under Curve Models, Biological Machine Learning Male Software Early Diagnosis Middle Aged Algorithms Case-Control Studies Humans Analysis of Variance Intensive Care Units Aged Diagnosis, Computer-Assisted Vital Signs Female Aged, 80 and over Sepsis Young Adult Adult
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Machine-learning-derived rules set excludes risk of Parkinson's disease in patients with olfactory or gustatory symptoms with high accuracy.

Journal of neurology Nov 1, 2019
BACKGROUND: Chemosensory loss is a symptom of Parkinson's disease starting already at preclinical stages. Their appearance without an identifiable etiology therefore indicates a possible early symptom of Parkinson's disease. Supervised machine-learni...
Aged Aged, 80 and over Age of Onset Young Adult Risk Adult Olfaction Disorders Humans Male Taste Disorders Machine Learning Middle Aged Prospective Studies Case-Control Studies Female Adolescent Reproducibility of Results Parkinson Disease
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