Reports Outline Hyponatremia Study Findings from University of Toledo (A multiplicative Holt-Winters model and autoregressive moving-average for hyponatremia mortality rates).

Předmět:	AUTOREGRESSIVE models DEATH rate MEDICAL care HYPONATREMIA DEATH forecasting
Zdroj:	Health & Medicine Week; 12/15/2023, p4109-4109, 1p
Abstrakt:	A recent report from the University of Toledo highlights the effective use of data analysis in managing medical resources for high-quality healthcare delivery and positive patient outcomes. The study focuses on hyponatremia, a condition that causes an electrolyte imbalance, and analyzes time series mortality rates associated with this condition. The research employs a multiplicative Holt-Winters model and a linear model with an autoregressive moving-average time series error term to accurately forecast mortality rates and identify recurring seasonal patterns. The study emphasizes the importance of integrating statistical analyses into medical practice to optimize the allocation of resources. [Extracted from the article]
Databáze:	Complementary Index
Externí odkaz:	Zobrazit plný text záznamu