AIMC Topic: Case-Control Studies

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Machine learning on genome-wide association studies to predict the risk of radiation-associated contralateral breast cancer in the WECARE Study.

PloS one Feb 27, 2020
The purpose of this study was to identify germline single nucleotide polymorphisms (SNPs) that optimally predict radiation-associated contralateral breast cancer (RCBC) and to provide new biological insights into the carcinogenic process. Fifty-two w...
Cohort Studies Young Adult Polymorphism, Single Nucleotide Adult Genotype Breast Neoplasms Cancer Survivors Germ Cells Case-Control Studies Humans Neoplasms, Radiation-Induced Genome-Wide Association Study Machine Learning Female Risk Factors
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Macular Ganglion Cell-Inner Plexiform Layer Thickness Prediction from Red-free Fundus Photography using Hybrid Deep Learning Model.

Scientific reports Feb 24, 2020
We developed a hybrid deep learning model (HDLM) algorithm that quantitatively predicts macular ganglion cell-inner plexiform layer (mGCIPL) thickness from red-free retinal nerve fiber layer photographs (RNFLPs). A total of 789 pairs of RNFLPs and sp...
Humans Glaucoma Algorithms Retrospective Studies Female Intraocular Pressure Male Middle Aged Case-Control Studies Diagnosis, Computer-Assisted Aged Aged, 80 and over Young Adult Adult Sensitivity and Specificity Diagnostic Techniques, Ophthalmological Optic Nerve Deep Learning Refractometry Tomography, Optical Coherence ROC Curve Fundus Oculi Support Vector Machine Translational Research, Biomedical Regression Analysis Retinal Ganglion Cells
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Assessment of liver fibrosis severity using computed tomography-based liver and spleen volumetric indices in patients with chronic liver disease.

European radiology Feb 13, 2020
OBJECTIVES: To evaluate whether the liver and spleen volumetric indices, measured on portal venous phase CT images, could be used to assess liver fibrosis severity in chronic liver disease.
Humans Chronic Disease Deep Learning Retrospective Studies Organ Size ROC Curve Tomography, X-Ray Computed Liver Diseases Liver Cirrhosis Female Spleen Liver Adult Male Middle Aged Severity of Illness Index Case-Control Studies
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Diagnosis of ventilator-associated pneumonia using electronic nose sensor array signals: solutions to improve the application of machine learning in respiratory research.

Respiratory research Feb 7, 2020
BACKGROUND: Ventilator-associated pneumonia (VAP) is a significant cause of mortality in the intensive care unit. Early diagnosis of VAP is important to provide appropriate treatment and reduce mortality. Developing a noninvasive and highly accurate ...
Decision Trees Respiratory Mechanics Pneumonia, Ventilator-Associated Electronic Nose Machine Learning Intensive Care Units Female Aged Aged, 80 and over Biomedical Research Humans Male Middle Aged Case-Control Studies
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Novel biomarker genes which distinguish between smokers and chronic obstructive pulmonary disease patients with machine learning approach.

BMC pulmonary medicine Feb 3, 2020
BACKGROUND: Chronic obstructive pulmonary disease (COPD) is combination of progressive lung diseases. The diagnosis of COPD is generally based on the pulmonary function testing, however, difficulties underlie in prognosis of smokers or early stage of...
Machine Learning Biomarkers Female Adult Pulmonary Disease, Chronic Obstructive Humans Logistic Models Epithelial Cells Cigarette Smoking Gene Expression Regulation Smokers Male Middle Aged Lung Gene Expression Profiling Case-Control Studies
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Untargeted Metabolomics for Metabolic Diagnostic Screening with Automated Data Interpretation Using a Knowledge-Based Algorithm.

International journal of molecular sciences Feb 1, 2020
Untargeted metabolomics may become a standard approach to address diagnostic requests, but, at present, data interpretation is very labor-intensive. To facilitate its implementation in metabolic diagnostic screening, we developed a method for automat...
Tandem Mass Spectrometry Knowledge Bases Metabolism, Inborn Errors Humans Algorithms Biomarkers Case-Control Studies Mass Screening Metabolome Data Interpretation, Statistical
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Automated classification of normal and Stargardt disease optical coherence tomography images using deep learning.

Acta ophthalmologica Jan 24, 2020
PURPOSE: Recent advances in deep learning have seen an increase in its application to automated image analysis in ophthalmology for conditions with a high prevalence. We wanted to identify whether deep learning could be used for the automated classif...
Deep Learning ROC Curve Image Processing, Computer-Assisted Male Humans Tomography, Optical Coherence Middle Aged Stargardt Disease Female Severity of Illness Index Adult Case-Control Studies
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Machine learning detection of Atrial Fibrillation using wearable technology.

PloS one Jan 24, 2020
BACKGROUND: Atrial Fibrillation is the most common arrhythmia worldwide with a global age adjusted prevalence of 0.5% in 2010. Anticoagulation treatment using warfarin or direct oral anticoagulants is effective in reducing the risk of AF-related stro...
Electrocardiography Support Vector Machine Atrial Fibrillation Humans Aged Case-Control Studies Diagnosis, Computer-Assisted Wearable Electronic Devices
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Improvement of classification performance of Parkinson's disease using shape features for machine learning on dopamine transporter single photon emission computed tomography.

PloS one Jan 24, 2020
OBJECTIVE: To assess the classification performance between Parkinson's disease (PD) and normal control (NC) when semi-quantitative indicators and shape features obtained on dopamine transporter (DAT) single photon emission computed tomography (SPECT...
Area Under Curve Corpus Striatum Tomography, Emission-Computed, Single-Photon Databases, Factual Case-Control Studies Humans ROC Curve Machine Learning Parkinson Disease
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A Novel Deep Learning Approach with a 3D Convolutional Ladder Network for Differential Diagnosis of Idiopathic Normal Pressure Hydrocephalus and Alzheimer's Disease.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine Jan 22, 2020
PURPOSE: Idiopathic normal pressure hydrocephalus (iNPH) and Alzheimer's disease (AD) are geriatric diseases and common causes of dementia. Recently, many studies on the segmentation, disease detection, or classification of MRI using deep learning ha...
Brain Female Reproducibility of Results Aged Hydrocephalus, Normal Pressure Magnetic Resonance Imaging Diagnosis, Computer-Assisted Aged, 80 and over Humans Male Deep Learning Artificial Intelligence Diagnosis, Differential Middle Aged Imaging, Three-Dimensional Alzheimer Disease Disease Progression Image Processing, Computer-Assisted Pattern Recognition, Automated Case-Control Studies Neuroimaging
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