Surveillance

Predictive models for clinical decision making: Deep dives in practical machine learning.

The deployment of machine learning for tasks relevant to complementing standard of care and advancin...

Machine Learning, Deep Learning, and Mathematical Models to Analyze Forecasting and Epidemiology of COVID-19: A Systematic Literature Review.

COVID-19 is a disease caused by SARS-CoV-2 and has been declared a worldwide pandemic by the World H...

Settings matter: a scoping review on parameters in robot-assisted gait therapy identifies the importance of reporting standards.

BACKGROUND: Lokomat therapy for gait rehabilitation has become increasingly popular. Most evidence s...

Prospects and Pitfalls of Machine Learning in Nutritional Epidemiology.

Nutritional epidemiology employs observational data to discover associations between diet and diseas...

Clinical Machine Learning Modeling Studies: Methodology and Data Reporting.

Proposing Causal Sequence of Death by Neural Machine Translation in Public Health Informatics.

Each year there are nearly 57 million deaths worldwide, with over 2.7 million in the United States. ...

Deep learning time series prediction models in surveillance data of hepatitis incidence in China.

BACKGROUND: Precise incidence prediction of Hepatitis infectious disease is critical for early preve...

Deep Learning Prediction of Ovarian Malignancy at US Compared with O-RADS and Expert Assessment.

Background Deep learning (DL) algorithms could improve the classification of ovarian tumors assessed...

A Real-Time Crowd Monitoring and Management System for Social Distance Classification and Healthcare Using Deep Learning.

Coronavirus born COVID-19 disease has spread its roots in the whole world. It is primarily spread by...

BayesFlow: Learning Complex Stochastic Models With Invertible Neural Networks.

Estimating the parameters of mathematical models is a common problem in almost all branches of scien...

Vision Transformer and Deep Sequence Learning for Human Activity Recognition in Surveillance Videos.

Human Activity Recognition is an active research area with several Convolutional Neural Network (CNN...

Machine learning approach to identify adverse events in scientific biomedical literature.

Monitoring the occurrence of adverse events in the scientific literature is a mandatory process in d...

Automated System for Identifying COVID-19 Infections in Computed Tomography Images Using Deep Learning Models.

Coronavirus disease 2019 (COVID-19) is a novel disease that affects healthcare on a global scale and...

Intelligent Wearable Devices Enabled Automatic Vehicle Detection and Tracking System with Video-Enabled UAV Networks Using Deep Convolutional Neural Network and IoT Surveillance.

The discipline of computer vision is becoming more popular as a research subject. In a surveillance-...

Deep learning approach identified a gene signature predictive of the severity of renal damage caused by chronic cadmium accumulation.

Epidemiology studies have indicated that environmental cadmium exposure, even at low levels, will re...

Epidemiological predictive modeling: lessons learned from the Kuopio ischemic heart disease risk factor study.

PURPOSE: The use of predictive models in epidemiology is relatively narrow as most of the studies re...

Deep Learning Based SWIR Object Detection in Long-Range Surveillance Systems: An Automated Cross-Spectral Approach.

SWIR imaging bears considerable advantages over visible-light (color) and thermal images in certain ...

What Influences the Way Radiologists Express Themselves in Their Reports? A Quantitative Assessment Using Natural Language Processing.

Although using standardized reports is encouraged, most emergency radiological reports in France rem...

Cross-Domain Traffic Scene Understanding by Integrating Deep Learning and Topic Model.

Understanding cross-domain traffic scenarios from multicamera surveillance network is important for ...

Investigating the Impact of Information Sharing in Human Activity Recognition.

The accuracy of Human Activity Recognition is noticeably affected by the orientation of smartphones ...

Efficient Violence Detection in Surveillance.

Intelligent video surveillance systems are rapidly being introduced to public places. The adoption o...