Bayesian modeling framework for optimizing pre-hospital stroke triage decisions

IF 1.2 4区数学 Q2 STATISTICS & PROBABILITY

Journal of Applied Statistics Pub Date : 2024-05-30 DOI:10.1080/02664763.2024.2360590

Uche Nwoke, Mudassir Farooqui, Jacob Oleson, Nicholas Mohr, Santiago Ortega-Gutierrez, Grant D. Brown, on behalf of the VISTA collaborators

引用次数: 0

Abstract

Ischemic stroke is responsible for significant morbidity and mortality in the United States and worldwide. Stroke treatment optimization requires emergency medical personnel to make rapid triage de...

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优化院前卒中分流决策的贝叶斯建模框架

在美国和全世界，缺血性中风都是导致重大发病和死亡的原因。脑卒中治疗的优化需要急诊医务人员对患者进行快速分诊。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Applied Statistics 数学-统计学与概率论

CiteScore

3.40

自引率

0.00%

发文量

126

审稿时长

6 months

期刊介绍： Journal of Applied Statistics provides a forum for communication between both applied statisticians and users of applied statistical techniques across a wide range of disciplines. These areas include business, computing, economics, ecology, education, management, medicine, operational research and sociology, but papers from other areas are also considered. The editorial policy is to publish rigorous but clear and accessible papers on applied techniques. Purely theoretical papers are avoided but those on theoretical developments which clearly demonstrate significant applied potential are welcomed. Each paper is submitted to at least two independent referees.