AIMC Topic: Case-Control Studies

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Artificial Intelligence Applied to Osteoporosis: A Performance Comparison of Machine Learning Algorithms in Predicting Fragility Fractures From MRI Data.

Journal of magnetic resonance imaging : JMRI Sep 25, 2018
BACKGROUND: A current challenge in osteoporosis is identifying patients at risk of bone fracture.
Osteoporosis Female Reproducibility of Results Aged Cross-Sectional Studies Humans Machine Learning Algorithms Prospective Studies Body Mass Index Magnetic Resonance Imaging Linear Models Osteoporotic Fractures Middle Aged Case-Control Studies ROC Curve Image Processing, Computer-Assisted
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Recognition of Schizophrenia with Regularized Support Vector Machine and Sequential Region of Interest Selection using Structural Magnetic Resonance Imaging.

Scientific reports Sep 14, 2018
Structural brain abnormalities in schizophrenia have been well characterized with the application of univariate methods to magnetic resonance imaging (MRI) data. However, these traditional techniques lack sensitivity and predictive value at the indiv...
Female Image Processing, Computer-Assisted Adult Humans Male Support Vector Machine Case-Control Studies Magnetic Resonance Imaging Schizophrenia Gray Matter
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Bounded Fuzzy Possibilistic Method Reveals Information about Lung Cancer through Analysis of Metabolomics.

IEEE/ACM transactions on computational biology and bioinformatics Sep 12, 2018
Learning methods, such as conventional clustering and classification, have been applied in diagnosing diseases to categorize samples based on their features. Going beyond clustering samples, membership degrees represent to what degree each sample bel...
Humans Fuzzy Logic Machine Learning Cluster Analysis Algorithms Metabolomics Case-Control Studies Metabolome Lung Neoplasms
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A Novel Morphological Analysis of DXA-DICOM Images by Artificial Neural Networks for Estimating Bone Mineral Density in Health and Disease.

Journal of clinical densitometry : the official journal of the International Society for Clinical Densitometry Sep 5, 2018
One of the best methods for diagnosing bone disease in humans is site-specific and total bone mineral density (BMD) measurements by Dual-energy X-ray Absorptiometry (DXA) machines. The basic disadvantage of this technology is inconsistent BMD measure...
Female Young Adult Adult Male Middle Aged Case-Control Studies Image Processing, Computer-Assisted Egypt Absorptiometry, Photon Humans Neural Networks, Computer Algorithms Bone Density Osteoporosis
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Machine learning identifies interacting genetic variants contributing to breast cancer risk: A case study in Finnish cases and controls.

Scientific reports Sep 3, 2018
We propose an effective machine learning approach to identify group of interacting single nucleotide polymorphisms (SNPs), which contribute most to the breast cancer (BC) risk by assuming dependencies among BCAC iCOGS SNPs. We adopt a gradient tree b...
Case-Control Studies Genome-Wide Association Study Gene Regulatory Networks Risk Gene Expression Regulation, Neoplastic Ubiquitin-Protein Ligases Humans Genetic Predisposition to Disease Finland Support Vector Machine Prognosis Polymorphism, Single Nucleotide Protein Interaction Mapping Base Sequence Female Estrogen Receptor alpha Genome, Human Breast Neoplasms
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A Study of Diagnostic Accuracy Using a Chemical Sensor Array and a Machine Learning Technique to Detect Lung Cancer.

Sensors (Basel, Switzerland) Aug 28, 2018
Lung cancer is the leading cause of cancer death around the world, and lung cancer screening remains challenging. This study aimed to develop a breath test for the detection of lung cancer using a chemical sensor array and a machine learning techniqu...
Machine Learning Prospective Studies Female Reproducibility of Results Aged Support Vector Machine Humans Early Detection of Cancer Male Breath Tests Middle Aged Case-Control Studies Lung Neoplasms
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The utility of artificial neural networks and classification and regression trees for the prediction of endometrial cancer in postmenopausal women.

Public health Aug 24, 2018
OBJECTIVE: Artificial neural networks (ANNs) and classification and regression trees (CARTs) have been previously used for the prediction of cancer in several fields. In our study, we aim to investigate the diagnostic accuracy of three different meth...
Postmenopause Endometrial Neoplasms Middle Aged Case-Control Studies Regression Analysis Humans Decision Trees Neural Networks, Computer Predictive Value of Tests Retrospective Studies Female Reproducibility of Results Aged
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Computer-aided detection of small intestinal ulcer and erosion in wireless capsule endoscopy images.

Physics in medicine and biology Aug 10, 2018
A novel computer-aided detection method based on deep learning framework was proposed to detect small intestinal ulcer and erosion in wireless capsule endoscopy (WCE) images. To the best of our knowledge, this is the first time that deep learning fra...
Image Processing, Computer-Assisted Capsule Endoscopy Intestine, Small Ulcer Humans Neural Networks, Computer Case-Control Studies Diagnosis, Computer-Assisted Deep Learning ROC Curve
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Enhanced Tomographic Assessment to Detect Corneal Ectasia Based on Artificial Intelligence.

American journal of ophthalmology Aug 9, 2018
PURPOSE: To improve the detection of corneal ectasia susceptibility using tomographic data.
Humans Artificial Intelligence Retrospective Studies Tomography Female Corneal Pachymetry Adult Slit Lamp Microscopy Sensitivity and Specificity ROC Curve Cornea Dilatation, Pathologic Keratoconus Male Corneal Topography Middle Aged Diagnostic Techniques, Ophthalmological Case-Control Studies Keratomileusis, Laser In Situ
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Machine learning algorithm-based risk prediction model of coronary artery disease.

Molecular biology reports Jul 11, 2018
In view of high mortality associated with coronary artery disease (CAD), development of an early predicting tool will be beneficial in reducing the burden of the disease. The database comprising demographic, conventional, folate/xenobiotic genetic ri...
Xenobiotics Cytochrome P-450 CYP1A1 Male Female Humans Polymorphism, Single Nucleotide Glycine Hydroxymethyltransferase Middle Aged Machine Learning Risk Factors Coronary Artery Disease Case-Control Studies Algorithms Aged Folic Acid Genetic Predisposition to Disease Forecasting Adult Epistasis, Genetic Multifactor Dimensionality Reduction
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