Latest AI and machine learning research in public health for healthcare professionals.
BACKGROUND: Surgical site infections are a major driver of morbidity and increased costs in the post...
Surgical Site Infection surveillance in healthcare systems is labor intensive and plagued by underre...
We propose the use of a machine learning algorithm to improve possible COVID-19 case identification ...
BACKGROUND: Vitamin B deficiency is common worldwide and may lead to psychiatric symptoms; however, ...
BACKGROUND: We developed a system to automatically classify stance towards vaccination in Twitter me...
The use of natural language data for animal population surveillance represents a valuable opportunit...
Dengue fever (DF) is one of the most rapidly spreading diseases in the world, and accurate forecasts...
Identification of neoantigens is a critical step in predicting response to checkpoint blockade thera...
BACKGROUND: Timely, precise, and localized surveillance of nonfatal events is needed to improve resp...
Machine learning has become ubiquitous and a key technology on mining electronic health records (EHR...
Avian influenza (AI) is a viral infectious disease that affects all species of domestic and wild bir...
A highly sensitive and broadly specific competitive indirect enzyme-linked immunosorbent assay (ciEL...
The reaction-diffusion equation serves to model systems in the diffusion regime with sources. Specif...
Spatial lifecourse epidemiology is an interdisciplinary field that utilizes advanced spatial, locati...
PURPOSE: The objective was to develop a natural language processing (NLP) algorithm to identify vacc...
BACKGROUND: Identifying dementia early in time, using real world data, is a public health challenge....
Identifying and understanding the risk factors for endemic bovine tuberculosis (TB) in cattle herds ...
In the twenty-first century, high contagious infectious diseases such as SARS (Severe Acute Respirat...
Global outbreaks caused by emerging or re-emerging arthropod-borne viruses (arboviruses) are becomi...
The continuous motorization of traffic has led to a sustained increase in the global number of road ...
Early warning systems (EWS) have been proposed as a measure for controlling and preventing dengue fe...