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Case-Control Studies

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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 Sensitivity and Specificity Intraocular Pressure Male Middle Aged Case-Control Studies Female Aged Aged, 80 and over Young Adult Adult Retinal Ganglion Cells Diagnostic Techniques, Ophthalmological Refractometry Regression Analysis Optic Nerve Tomography, Optical Coherence Diagnosis, Computer-Assisted Fundus Oculi Deep Learning Translational Research, Biomedical ROC Curve Support Vector Machine
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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.
Spleen Liver Cirrhosis Liver Chronic Disease Organ Size Liver Diseases Severity of Illness Index Case-Control Studies Deep Learning ROC Curve Humans Retrospective Studies Tomography, X-Ray Computed Female Adult Male Middle Aged
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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 ...
Electronic Nose Case-Control Studies Decision Trees Respiratory Mechanics Pneumonia, Ventilator-Associated Humans Machine Learning Intensive Care Units Female Aged Aged, 80 and over Biomedical Research Male Middle Aged
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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 Logistic Models Humans Epithelial Cells Cigarette Smoking Male Gene Expression Regulation Middle Aged Smokers 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...
Middle Aged Severity of Illness Index Case-Control Studies Deep Learning ROC Curve Humans Female Image Processing, Computer-Assisted Adult Tomography, Optical Coherence Male Stargardt Disease
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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...
Atrial Fibrillation Case-Control Studies Diagnosis, Computer-Assisted Wearable Electronic Devices Electrocardiography Support Vector Machine Humans Aged
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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...
Tomography, Emission-Computed, Single-Photon Case-Control Studies ROC Curve Parkinson Disease Area Under Curve Corpus Striatum Humans Machine Learning Databases, Factual
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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...
Humans Artificial Intelligence Brain Female Reproducibility of Results Aged Aged, 80 and over Male Middle Aged Pattern Recognition, Automated Imaging, Three-Dimensional Neuroimaging Image Processing, Computer-Assisted Disease Progression Hydrocephalus, Normal Pressure Magnetic Resonance Imaging Case-Control Studies Diagnosis, Differential Diagnosis, Computer-Assisted Alzheimer Disease Deep Learning
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Effect of a deep-learning computer-aided detection system on adenoma detection during colonoscopy (CADe-DB trial): a double-blind randomised study.

The lancet. Gastroenterology & hepatology Jan 22, 2020
BACKGROUND: Colonoscopy with computer-aided detection (CADe) has been shown in non-blinded trials to improve detection of colon polyps and adenomas by providing visual alarms during the procedure. We aimed to assess the effectiveness of a CADe system...
Deep Learning China Male Humans Double-Blind Method Incidence Female Middle Aged Colonic Polyps Mass Screening Adult Colonoscopy Observer Variation Adenoma Colorectal Neoplasms Case-Control Studies Early Diagnosis Diagnosis, Computer-Assisted Clinical Alarms
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