Latest AI and machine learning research in public health & policy for healthcare professionals.
We present a statistical inference model for the detection and characterization of outbreaks of hosp...
The utility of a prediction model depends on its generalizability to patients drawn from different b...
Use of prescription opioids and problems of abuse and addiction have increased over the past decade....
Nontyphoidal species are the leading bacterial cause of foodborne disease in the United States. Who...
Despite the usefulness of artificial neural networks (ANNs) in the study of various complex problems...
Techniques of data mining and machine learning were applied to a large database of medical and facil...
Bovine respiratory disease (BRD) is the most common infectious disease in dairy and beef cattle. It ...
BACKGROUND: Direct oral anticoagulants are the first-line drugs for anticoagulation therapy in nonva...
BACKGROUND: This study was conducted to assess the prevalence and clinical and epidemiological facto...
Monitoring animal health worldwide, especially the early detection of outbreaks of emerging pathogen...
Graphene-based nanomaterials (GMs) are served as great promising agents for the prevention and thera...
Ambient exposure to fine particulate matter (PM) is known to harm public health in China. Satellite ...
Listeria monocytogenes is one of the most important foodborne pathogens due to the high hospitalizat...
Prostate multi-parametric magnetic resonance imaging (mpMRI) has shown excellent sensitivity for Gle...
The tailless flapping-wing micro air vehicle (FW-MAV) is one of the most challenging problems in fla...
Vector autoregressive models characterize a variety of time series in which linear combinations of c...
BACKGROUND: Tolvaptan is a promising drug for the prevention of contrast-induced acute kidney injury...
Suicide has been considered an important public health issue for years and is one of the main cause...
BACKGROUND: This paper studies the temporal consistency of health care expenditures in a large state...
One broad goal of biomedical informatics is to generate fully-synthetic, faithfully representative e...
BACKGROUND: Electronic health records (EHRs) bring many opportunities for information utilization. O...