MACHINE LEARNING-DERIVED PREDICTION OF IN-HOSPITAL MORTALITY IN PATIENTS WITH SEVERE ACUTE RESPIRATORY INFECTION: ANALYSIS OF CLAIMS DATA FROM THE GERMAN-WIDE HELIOS HOSPITAL NETWORK

Abstract Background Severe acute respiratory infections (SARI) are the most common infectious causes of death.Previous work regarding mortality prediction models for SARI using machine learning (ML) algorithms that can be useful for both individual risk stratification and quality of care assessment is scarce.We aimed to develop reliable models for

Epidermal permeability barrier function plays a critical Faucet Parts role in regulating cutaneous functions.Hence, researchers have been searching for effective and affordable regimens to enhance epidermal permeability barrier function.In addition to topical stratum corneum lipids, peroxisome proliferator-activated receptor, and liver X receptor l

Addressing the imputed opposition between Christian theology and metaphysics from the premise of the inadmissibility of severing ties with the Holy Fathers of the Plush Church, this paper argues for the necessity of revisiting dogmatical works like the Fountain of Knowledge and Ambigua with the scope of ascertaining their perspective on the issue.B

Mountainous terrains are typical over southeast China, with complex and diverse topography, large terrain undulations, rich geographic features, and meteorological variations.Previous studies show that ERA5 meteorological variables are generally accurate with respect to large plains or urban agglomerations, while their applicability to mountainous

Abstract Background Research highlights that participation of ethnic minority individuals in research is low when compared to white counterparts.This poses challenges for healthcare planning and delivery, as lack of representativeness in research means that findings are generalised across all ethnic groups, and do not provide stakeholders with a fu