Latest AI and machine learning research in public health & policy for healthcare professionals.
Effective and timely disease surveillance systems have the potential to help public health officials design interventions to mitigate the effects of disease outbreaks. Currently, healthcare-based disease monitoring systems in France offer influenza activity information that lags real-time by one to three weeks. This temporal data gap introduces uncertainty that prevents public health officials fro...
Deep learning architectures have an extremely high-capacity for modeling complex data in a wide variety of domains. However, these architectures have been limited in their ability to support complex prediction problems using insurance claims data, such as readmission at 30 days, mainly due to data sparsity issue. Consequently, classical machine learning methods, especially those that embed domain ...
Rare diseases affect between 25 and 30 million people in the United States, and understanding their epidemiology is critical to focusing research effo...
The prevalence of prediabetes is rapidly increasing, and this can lead to an increased risk for individuals to develop type 2 diabetes and associated ...
Suicide is inherently difficult to predict. Epidemiological research identified many general risk factors such as a depression, but these predictors h...
Therapeutic options in response to the coronavirus disease 2019 (COVID-19) outbreak are urgently needed. In this communication, we demonstrate how to ...
Many countries face major challenges to ensure that their health and social care systems are ready for the growing numbers of older people (OP). As a ...
The development of medical assisting tools based on artificial intelligence advances is essential in the global fight against COVID-19 outbreak and th...
Digital data sources have become ubiquitous in modern culture in the era of digital technology but often tend to be under-researched because of restr...
Machine learning is increasingly integrated into clinical practice, with applications ranging from pre-clinical data processing, bedside diagnosis ass...
Within the recent pandemic, scientists and clinicians are engaged in seeking new technology to stop or slow down the COVID-19 pandemic. The benefit of...
Google health-based Knowledge Panels were designed to provide users with high-quality basic medical information on a specific condition. However, any ...
The Covid-19 pandemic represents one of the greatest global health emergencies of the last few decades with indelible consequences for all societies t...
BACKGROUND: The concurrent growth of large-scale oncology data alongside the computational methods with which to analyze and model it has created a pr...
Professional cleaning and safe social distance monitoring are often considered as demanding, time-consuming, repetitive, and labor-intensive tasks wit...
BACKGROUND: The aim of this study was to assess insignificant prostate cancer (iPCa) rates after robot-assisted radical prostatectomy (RARP) in contem...
The recent COVID-19 pandemic, which broke at the end of the year 2019 in Wuhan, China, has infected more than 98.52 million people by today (January 2...
BACKGROUND: Iraq is among the countries affected by the COVID-19 pandemic. As of 2 August 2020, 129,151 COVID-19 cases were confirmed, including 91,94...
Epidemic diseases (EDs) present a significant but challenging risk endangering public health, evidenced by the outbreak of COVID-19. Compared to other...
Treatment and prevention of cardiovascular diseases often rely on Electrocardiogram (ECG) interpretation. Dependent on the physician's variability, EC...