Articles tagged with Analytic Functions
A decision analytical model and microsimulation study found that expanding alcohol screening and brief interventions in primary care could reduce premature mortality from major alcohol-related causes of death in US adults. By 2030, this expanded approach is projected to decrease annual alcohol-related potential years of life lost by −5...
This study uses an analytical model to examine the effects of influenza vaccination on both vaccinated and unvaccinated populations. The results show that vaccination provides significant reductions in disease burden, even when vaccine effectiveness is low, but these benefits are limited in high transmission situations.
Intra-arterial tenecteplase significantly reduces the risk of symptomatic intracranial hemorrhage and mortality in patients with acute large vessel occlusion. The treatment also improves neurological outcomes at 90 days without increasing complications.
A decision analytical model study found that sustained public health interventions can reduce opioid-related overdose deaths. Implementing medications for opioid use disorder and increasing naloxone supply were key factors in reducing death rates.
A new study estimates the global economic cost of 29 cancers from 2020 to 2050 to be $25.2 trillion, with significant variations in burden across countries and regions. The study highlights the need for global efforts to address rising cancer burdens.
Researchers applied principal component analysis to receiver function data, improving signal-to-noise ratio and separating structural variations. The new method effectively constrains the crustal structure beneath targeted stations.
Researchers developed BeeSpace Navigator, a free online software that uses semantic indexing to extract gene information from academic papers. The tool allows biologists to create custom searches and filters to find specific data, making it easier to interpret gene function.