Latest AI and machine learning research in public health & policy for healthcare professionals.
Prevention and diagnosis of NAFLD is an ongoing area of interest in the healthcare community. Screen...
Prevention and early intervention are the most effective ways of avoiding or minimizing psychologica...
BACKGROUND: Although the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation has be...
INTRODUCTION: The implementation of the Hib conjugate vaccine in the United Kingdom in 1992 resulted...
INTRODUCTION: To evaluate the pathological outcomes of Turkish men meeting the criteria for Active S...
Between 1 September and 15 November 2017, 48 A(H5N8) highly pathogenic avian influenza (HPAI) outbre...
Streptococcus agalactiae (GBS) cause severe infections in newborns under three months. Meningitis, p...
The digital world is generating data at a staggering and still increasing rate. While these "big dat...
BACKGROUND: As e-cigarette use rapidly increases in popularity, data from online social systems (Twi...
The widespread prevalence of dietary supplements has drawn extensive attention due to the safety and...
This work is the first to take advantage of recurrent neural networks to predict influenza-like illn...
Targeted intervention and resource allocation are essential for effective malaria control, particula...
Vaccine refusal can lead to renewed outbreaks of previously eliminated diseases and even delay globa...
BACKGROUND: Severe immune dysregulation such as seen in autoimmune (AI) disease is known to act as a...
In a group of 22 healthy pigs aged between 4 and 6Â months, 2 pigs became ill with high fever, comple...
Various surveillance systems capture signs of human activities of daily living (ADLs) and store mult...
PURPOSE OF REVIEW: Propensity score methods have become commonplace in pharmacoepidemiology over the...
Escape and surveillance responses to predators are lateralized in several vertebrate species. Howeve...
Outcomes for cancer patients have been previously estimated by applying various machine learning tec...
We utilize deep neural networks to develop prediction models for patient survival and conditional su...
Creative solutions are needed to support community-dwelling older adults residing in a variety of se...