AIMC Topic: Case-Control Studies

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A deep learning framework for automatic diagnosis of unipolar depression.

International journal of medical informatics Sep 27, 2019
BACKGROUND AND PURPOSE: In recent years, the development of machine learning (ML) frameworks for automatic diagnosis of unipolar depression has escalated to a next level of deep learning frameworks. However, this idea needs further validation. Theref...
Deep Learning Electroencephalography Automation Depressive Disorder Female Humans Adult Neural Networks, Computer Male Case-Control Studies
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Keratoconus detection using deep learning of colour-coded maps with anterior segment optical coherence tomography: a diagnostic accuracy study.

BMJ open Sep 27, 2019
OBJECTIVE: To evaluate the diagnostic accuracy of keratoconus using deep learning of the colour-coded maps measured with the swept-source anterior segment optical coherence tomography (AS-OCT).
Case-Control Studies Humans Deep Learning Retrospective Studies Keratoconus Sensitivity and Specificity Tomography, Optical Coherence Disease Progression
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Using path signatures to predict a diagnosis of Alzheimer's disease.

PloS one Sep 19, 2019
The path signature is a means of feature generation that can encode nonlinear interactions in data in addition to the usual linear terms. It provides interpretable features and its output is a fixed length vector irrespective of the number of input p...
Middle Aged Female Disease Progression Humans Aged Models, Theoretical Case-Control Studies Machine Learning Aged, 80 and over Cognitive Dysfunction Brain Male Magnetic Resonance Imaging Alzheimer Disease Neuroimaging
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Injecting and removing suspicious features in breast imaging with CycleGAN: A pilot study of automated adversarial attacks using neural networks on small images.

European journal of radiology Sep 10, 2019
PURPOSE: To train a CycleGAN on downscaled versions of mammographic data to artificially inject or remove suspicious features, and to determine whether these AI-mediated attacks can be detected by radiologists.
Humans Neural Networks, Computer Female Area Under Curve Breast Neoplasms Radiologists Case-Control Studies Breast Pilot Projects Image Interpretation, Computer-Assisted ROC Curve Mammography
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Radiomics of small renal masses on multiphasic CT: accuracy of machine learning-based classification models for the differentiation of renal cell carcinoma and angiomyolipoma without visible fat.

European radiology Aug 29, 2019
OBJECTIVE: To investigate the discriminative capabilities of different machine learning-based classification models on the differentiation of small (< 4 cm) renal angiomyolipoma without visible fat (AMLwvf) and renal cell carcinoma (RCC).
Kidney Neoplasms Carcinoma, Renal Cell Angiomyolipoma Male Middle Aged Humans Case-Control Studies Tomography, X-Ray Computed Machine Learning Diagnosis, Differential Female Retrospective Studies Aged
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Alcohol outlets and firearm violence: a place-based case-control study using satellite imagery and machine learning.

Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention Aug 29, 2019
INTRODUCTION: This article proposes a novel method for matching places based on visual similarity, using high-resolution satellite imagery and machine learning. This approach strengthens comparisons when the built environment is a potential confounde...
Humans Machine Learning Case-Control Studies Urban Population Residence Characteristics Violence Alcoholic Beverages Satellite Imagery Commerce Wounds, Gunshot Philadelphia Firearms
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Prediction of future gastric cancer risk using a machine learning algorithm and comprehensive medical check-up data: A case-control study.

Scientific reports Aug 27, 2019
A comprehensive screening method using machine learning and many factors (biological characteristics, Helicobacter pylori infection status, endoscopic findings and blood test results), accumulated daily as data in hospitals, could improve the accurac...
Longitudinal Studies Area Under Curve Bayes Theorem Case-Control Studies Endoscopy, Gastrointestinal ROC Curve Logistic Models Machine Learning Humans Female Adult Risk Factors Stomach Neoplasms Aged Male Middle Aged
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Machine Learning Models for Diagnosing Glaucoma from Retinal Nerve Fiber Layer Thickness Maps.

Ophthalmology. Glaucoma Aug 23, 2019
PURPOSE: To assess the diagnostic accuracy of multiple machine learning models using full retinal nerve fiber layer (RNFL) thickness maps in detecting glaucoma.
Humans Glaucoma Machine Learning Female Tomography, Optical Coherence Nerve Fibers Optic Disk Retinal Ganglion Cells Aged Intraocular Pressure Male Case-Control Studies Visual Fields
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Functional connectivity-based classification of autism and control using SVM-RFECV on rs-fMRI data.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Aug 22, 2019
Considering the unsatisfactory classification accuracy of autism due to unsuitable features selected in current studies, a functional connectivity (FC)-based algorithm for classifying autism and control using support vector machine-recursive feature ...
Image Processing, Computer-Assisted Support Vector Machine Magnetic Resonance Imaging Autistic Disorder Humans Female Young Adult Adult Male Case-Control Studies Adolescent Child
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Machine-learning algorithms to identify key biosecurity practices and factors associated with breeding herds reporting PRRS outbreak.

Preventive veterinary medicine Aug 20, 2019
Investments in biosecurity practices are made by producers to reduce the likelihood of introducing pathogens such as porcine reproductive and respiratory syndrome virus (PRRSv). The assessment of biosecurity practices in breeding herds is usually don...
Animals Disease Outbreaks Swine Animal Husbandry Machine Learning Algorithms Risk Factors Porcine respiratory and reproductive syndrome virus Case-Control Studies United States Breeding Porcine Reproductive and Respiratory Syndrome
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