Objective To estimate the prevalence of potential overtreatment of type 2 diabetes mellitus (T2DM) among older adults and to develop and compare predictive models to identify patient and physician ...

Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and limited ...

Subsidies. Love 'em or hate them, they dominated the news during the Affordable Care Act's sign-up season, and their reduction is now hitting many enrollees in the pocketbook. While lawmakers continue ...

Abstract: The prediction of patient care costs is essential in supporting hospital financial planning and enhancing service transparency. This practical work report presents the development of a cost ...

Republicans think patients should be shopping for better health care prices. The party has long pushed to give patients money and let consumers do the work of reducing costs. After some GOP lawmakers ...

Please provide your email address to receive an email when new articles are posted on . Burden was assessed in those diagnosed with hypereosinophilic syndrome (HES) and those predicted to have the ...

The prediction of patient care costs is essential in supporting hospital financial planning and enhancing service transparency. This practical work report presents the development of a cost prediction ...

The Wisconsin Statewide Health Information Network is working to enable real-time data sharing and close critical information gaps as patients transition between hospitals and long-term care ...

ABSTRACT: Accurate prediction of survey response rates is essential for optimizing survey design and ensuring high-quality data collection. Traditional methods often struggle to capture the complexity ...

While I have concerns about the use of AI chatbots like ChatGPT and Anthropic’s Claude – namely, the environmental pressures, potential for dangerous hallucinations and the use of data from unreliable ...