Latest AI and machine learning research in public health & policy for healthcare professionals.
BACKGROUND: Direct oral anticoagulants are the first-line drugs for anticoagulation therapy in nonvalvular atrial fibrillation (NVAF). However, a real-world, large-scale, clinical study on edoxaban has not been performed. Our ongoing postmarketing surveillance, ETNA-AF-Japan (doxaban reatment in routie clinical prctice in patients with non-valvular trial ibrillation; UMIN000017011), was designed t...
BACKGROUND: This study was conducted to assess the prevalence and clinical and epidemiological factors of thyroid dysfunction (TD) in Indian patients diagnosed with metabolic syndrome (MetS).
Monitoring animal health worldwide, especially the early detection of outbreaks of emerging pathogens, is one of the means of preventing the introduct...
Innovative methods to detect and kill pathogenic bacteria have a pivotal role in the eradication of infectious diseases and the prevention of the grow...
Graphene-based nanomaterials (GMs) are served as great promising agents for the prevention and therapy of infectious diseases. However, their dental a...
Ambient exposure to fine particulate matter (PM) is known to harm public health in China. Satellite remote sensing measurements of aerosol optical dep...
Listeria monocytogenes is one of the most important foodborne pathogens due to the high hospitalization and mortality rates associated to an outbreak....
Prostate multi-parametric magnetic resonance imaging (mpMRI) has shown excellent sensitivity for Gleason ≥7 cancers, especially when their volume is ≥...
The tailless flapping-wing micro air vehicle (FW-MAV) is one of the most challenging problems in flapping-wing design due to its lack of tail for inhe...
Vector autoregressive models characterize a variety of time series in which linear combinations of current and past observations can be used to accura...
BACKGROUND: Tolvaptan is a promising drug for the prevention of contrast-induced acute kidney injury (CI-AKI) because it induces aquaresis without adv...
Suicide has been considered an important public health issue for years and is one of the main causes of death worldwide. Despite prevention strategie...
BACKGROUND: Instagram, with millions of posts per day, can be used to inform public health surveillance targets and policies. However, current researc...
BACKGROUND: This paper studies the temporal consistency of health care expenditures in a large state Medicaid program. Predictive machine learning mod...
One broad goal of biomedical informatics is to generate fully-synthetic, faithfully representative electronic health records (EHRs) to facilitate data...
BACKGROUND: American Indian (AI) families experience a disproportionate risk of obesity due to a number of complex reasons, including poverty, histori...
BACKGROUND: Electronic health records (EHRs) bring many opportunities for information utilization. One such use is the surveillance conducted by the C...
Machine learning has become an increasingly powerful tool for solving complex problems, and its application in public health has been underutilized. T...
To exploit the full potential of big routine data in healthcare and to efficiently communicate and collaborate with information technology specialists...
BACKGROUND: Since the beginning of the 21st century, the amount of data obtained from public health surveillance has increased dramatically due to the...