AIMC Topic: Male

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Motion-compensated frame rate up-conversion in carotid ultrasound images using optical flow and manifold learning.

Turk Kardiyoloji Dernegi arsivi : Turk Kardiyoloji Derneginin yayin organidir Dec 1, 2019
OBJECTIVE: Carotid ultrasonography is a reliable and non-invasive method to evaluate atherosclerosis disease and its complications. B-mode cineloops are widely used to assess the severity of atherosclerosis and its progression; ho- wever, tracking ra...
Male Humans Ultrasonography Image Processing, Computer-Assisted Machine Learning Carotid Arteries Algorithms Female
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Machine Learning Approach for Predicting Past Environmental Exposures From Molecular Profiling of Post-Exposure Human Serum Samples.

Journal of occupational and environmental medicine Dec 1, 2019
OBJECTIVE: To develop an approach for a retrospective analysis of post-exposure serum samples using diverse molecular profiles.
Cotinine Environmental Exposure Sex Factors Smoking Tobacco Smoke Pollution Support Vector Machine Age Factors Disease Models, Animal Mice, Inbred C57BL Humans Machine Learning Biomarkers Female Young Adult Adult Animals Male Adolescent
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Fuzzy cognitive map based approach for determining the risk of ischemic stroke.

IET systems biology Dec 1, 2019
Stroke is the third major cause of mortality in the world. The diagnosis of stroke is a very complex issue considering controllable and uncontrollable factors. These factors include age, sex, blood pressure, diabetes, obesity, heart disease, smoking,...
Risk Assessment Humans Computational Biology Machine Learning Fuzzy Logic Female Stroke Male Brain Ischemia
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Accuracy of Kalman Filtering in Forecasting Visual Field and Intraocular Pressure Trajectory in Patients With Ocular Hypertension.

JAMA ophthalmology Dec 1, 2019
IMPORTANCE: Techniques that properly identify patients in whom ocular hypertension (OHTN) is likely to progress to open-angle glaucoma can assist clinicians with deciding on the frequency of monitoring and the potential benefit of early treatment.
Male Middle Aged Diagnosis, Computer-Assisted Cohort Studies Visual Fields Visual Field Tests Glaucoma, Open-Angle Ocular Hypertension Tonometry, Ocular Female Reproducibility of Results Aged Intraocular Pressure Humans Machine Learning Algorithms Forecasting
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A Machine-Learning Approach Using PET-Based Radiomics to Predict the Histological Subtypes of Lung Cancer.

Clinical nuclear medicine Dec 1, 2019
PURPOSE: We sought to distinguish lung adenocarcinoma (ADC) from squamous cell carcinoma using a machine-learning algorithm with PET-based radiomic features.
Image Processing, Computer-Assisted Carcinoma, Squamous Cell Positron Emission Tomography Computed Tomography Aged Lung Neoplasms Male Humans Area Under Curve Middle Aged Bayes Theorem Machine Learning ROC Curve Retrospective Studies Female
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The effectiveness of a novel cable-driven gait trainer (Robowalk) combined with conventional physiotherapy compared to conventional physiotherapy alone following stroke: a randomised controlled trial.

International journal of rehabilitation research. Internationale Zeitschrift fur Rehabilitationsforschung. Revue internationale de recherches de readaptation Dec 1, 2019
There is increasing interest in gait training devices to improve walking ability in people following stroke. This randomised controlled trial aimed to compare the effectiveness of the Robowalk, a novel cable-driven gait trainer combined with conventi...
Walking Speed Physical Therapy Modalities Stroke Rehabilitation Quality of Life Robotics Walking Combined Modality Therapy Humans Female Aged Male
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What health records data are required for accurate prediction of suicidal behavior?

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2019
OBJECTIVE: The study sought to evaluate how availability of different types of health records data affect the accuracy of machine learning models predicting suicidal behavior.
Logistic Models Self Report Models, Psychological Suicide, Attempted Surveys and Questionnaires Adolescent Suicide Machine Learning Electronic Health Records Female Risk Factors Aged Adult Male Middle Aged Risk Assessment Humans
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Classification of Aortic Dissection and Rupture on Post-contrast CT Images Using a Convolutional Neural Network.

Journal of digital imaging Dec 1, 2019
Aortic dissections and ruptures are life-threatening injuries that must be immediately treated. Our national radiology practice receives dozens of these cases each month, but no automated process is currently available to check for critical pathologi...
Humans Neural Networks, Computer Sensitivity and Specificity Male Middle Aged Contrast Media Radiographic Image Interpretation, Computer-Assisted Prospective Studies Tomography, X-Ray Computed Female Reproducibility of Results Aortic Dissection Aorta Radiographic Image Enhancement Aortic Rupture
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Development and Validation of a Deep Learning System to Detect Glaucomatous Optic Neuropathy Using Fundus Photographs.

JAMA ophthalmology Dec 1, 2019
IMPORTANCE: A deep learning system (DLS) that could automatically detect glaucomatous optic neuropathy (GON) with high sensitivity and specificity could expedite screening for GON.
Male Photography Area Under Curve Humans Deep Learning Glaucoma, Open-Angle Fundus Oculi ROC Curve Databases, Factual Optic Nerve Diseases Female Predictive Value of Tests False Positive Reactions Sensitivity and Specificity Cross-Sectional Studies Diagnostic Techniques, Ophthalmological
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Assessing clinical heterogeneity in sepsis through treatment patterns and machine learning.

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2019
OBJECTIVE: To use unsupervised topic modeling to evaluate heterogeneity in sepsis treatment patterns contained within granular data of electronic health records.
Retrospective Studies Electronic Health Records Female Hospitalization Aged Humans Anti-Bacterial Agents Aged, 80 and over Sepsis Adult Hospital Mortality Male Unsupervised Machine Learning Middle Aged Patient Acuity Quality of Health Care
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