AIMC Topic: Young Adult
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Prediction of hypertension, hyperglycemia and dyslipidemia from retinal fundus photographs via deep learning: A cross-sectional study of chronic diseases in central China.
PloS one
May 14, 2020
Retinal fundus photography provides a non-invasive approach for identifying early microcirculatory alterations of chronic diseases prior to the onset of overt clinical complications. Here, we developed neural network models to predict hypertension, h...
EEG classification across sessions and across subjects through transfer learning in motor imagery-based brain-machine interface system.
Medical & biological engineering & computing
May 11, 2020
Transfer learning enables the adaption of models to handle mismatches of distributions across sessions or across subjects. In this paper, we proposed a new transfer learning algorithm to classify motor imagery EEG data. By analyzing the power spectru...
Identification of Risk Factors Associated with Obesity and Overweight-A Machine Learning Overview.
Sensors (Basel, Switzerland)
May 11, 2020
Social determining factors such as the adverse influence of globalization, supermarket growth, fast unplanned urbanization, sedentary lifestyle, economy, and social position slowly develop behavioral risk factors in humans. Behavioral risk factors su...
Digital conversations about suicide among teenagers and adults with epilepsy: A big-data, machine learning analysis.
Epilepsia
May 8, 2020
OBJECTIVE: Digital media conversations can provide important insight into the concerns and struggles of people with epilepsy (PWE) outside of formal clinical settings and help generate useful information for treatment planning. Our study aimed to exp...
Measurement and identification of mental workload during simulated computer tasks with multimodal methods and machine learning.
Ergonomics
May 7, 2020
This study attempted to multimodally measure mental workload and validate indicators for estimating mental workload. A simulated computer work composed of mental arithmetic tasks with different levels of difficulty was designed and used in the experi...
Diagnosis of Coronavirus Disease 2019 (COVID-19) With Structured Latent Multi-View Representation Learning.
IEEE transactions on medical imaging
May 5, 2020
Recently, the outbreak of Coronavirus Disease 2019 (COVID-19) has spread rapidly across the world. Due to the large number of infected patients and heavy labor for doctors, computer-aided diagnosis with machine learning algorithm is urgently needed, ...
Prediction of chronological and biological age from laboratory data.
Aging
May 5, 2020
Aging has pronounced effects on blood laboratory biomarkers used in the clinic. Prior studies have largely investigated one biomarker or population at a time, limiting a comprehensive view of biomarker variation and aging across different populations...
Deep Convolutional Neural Networks-Based Automatic Breast Segmentation and Mass Detection in DCE-MRI.
Computational and mathematical methods in medicine
May 5, 2020
Breast segmentation and mass detection in medical images are important for diagnosis and treatment follow-up. Automation of these challenging tasks can assist radiologists by reducing the high manual workload of breast cancer analysis. In this paper,...
Robotic Approach to Outpatient Inguinal Hernia Repair.
Journal of the American College of Surgeons
May 4, 2020
BACKGROUND: Robotics offers improved ergonomics, visualization, instrument articulation, and tremor filtration. Disadvantages include startup cost and system breakdown. Surgeon education notwithstanding, we hypothesize that robotic inguinal hernia re...
Machine Learning Offers Exciting Potential for Predicting Postprocedural Outcomes: A Framework for Developing Random Forest Models in IR.
Journal of vascular and interventional radiology : JVIR
May 4, 2020
PURPOSE: To demonstrate that random forest models trained on a large national sample can accurately predict relevant outcomes and may ultimately contribute to future clinical decision support tools in IR.
Humans
Portasystemic Shunt, Transjugular Intrahepatic
Iatrogenic Disease
Pneumothorax
Uterine Artery Embolization
United States
Inpatients
Data Mining
Radiography, Interventional
Image-Guided Biopsy
Male
Risk Factors
Adolescent
Middle Aged
Aged
Machine Learning
Time Factors
Risk Assessment
Aged, 80 and over
Databases, Factual
Child, Preschool
Infant
Young Adult
Retrospective Studies
Child
Length of Stay
Adult
Female
Hospital Mortality
Infant, Newborn
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