Latest AI and machine learning research in public health & policy for healthcare professionals.
The early and accurately detection of brucellosis incidence change is of great importance for implementing brucellosis prevention strategic health planning. The present study investigated and compared the performance of the three data mining techniques, random forest (RF), support vector machine (SVM) and multivariate adaptive regression splines (MARSs), in time series modelling and predicting of ...
BACKGROUND: Mortality surveillance is of fundamental importance to public health surveillance. The real-time recording of death certificates, thanks to Electronic Death Registration System (EDRS), provides valuable data for reactive mortality surveillance based on medical causes of death in free-text format. Reactive mortality surveillance is based on the monitoring of mortality syndromic groups (...
The hybrid assistive limb (HAL) provides motion assistance based on bioelectrical signals detected on the skin surface when muscle forces are generate...
Remote and automated healthcare management has shown the prospective to significantly impact the future of human prognosis rate. Internet of Things (I...
Epidemiological studies demonstrate that dimensions of retinal vessels change with ocular diseases, coronary heart disease and stroke. Different metri...
Influenza is one of the main causes of death, not only in the USA but worldwide. Its significant economic and public health impacts necessitate develo...
BACKGROUND: The use of linked data in the Semantic Web is a promising approach to add value to nutrition research. An ontology, which defines the logi...
: Scientific evidence supports that prevention strategies like multicomponent physical exercise help avoiding functional decline, falls and frailty. T...
BACKGROUND: The vigilant observation of medical devices during post-market surveillance (PMS) for identifying safety-relevant incidents is a non-trivi...
Population imaging studies generate data for developing and implementing personalised health strategies to prevent, or more effectively treat disease....
The way we categorise and classify cancer types dictates not only the way we diagnose and treat patients but also many of our decisions on biomarker a...
Understanding the risk factors that initiate cancer is essential for reducing the future cancer burden. Much of our current cancer control insight is ...
BACKGROUND: Establishing epidemiological models and conducting predictions seems to be useful for the prevention and control of human brucellosis. Aut...
BACKGROUND: Worldwide, syndromic surveillance is increasingly used for improved and timely situational awareness and early identification of public he...
BACKGROUND AND OBJECTIVE: Patients with End- Stage Kidney Disease (ESKD) have a unique cardiovascular risk. This study aims at predicting, with a cert...
INTRODUCTION: Poor road and communication infrastructure pose major challenges to tuberculosis (TB) control in many regions of the world. TB surveilla...
BACKGROUND: Suicide is a great public health challenge. Two hundred million people attempt suicide in China annually. Existing suicide prevention prog...
Person re-identification (ReID) is gaining more attention due to its important applications in pedestrian tracking and security prevention. Recently d...
Cities are home to an increasing majority of the world's population. Currently, it is difficult to track social, economic, environmental and health ou...
OBJECTIVE: Electronic medical records (EMRs) are manually annotated by healthcare professionals and specialized medical coders with a standardized set...