Improving Accuracy and Completeness in the Collaborative Staging System for Stomach Cancer in South Korea

Lim, Hyun-Sook; Won, Young‐Joo; Boo, Yoo-Kyung

doi:10.7314/apjcp.2014.15.21.9529

Cited by 2 publications

(1 citation statement)

References 6 publications

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“…It is important to understand the associated factors and its level of importance. Some of the studies based on associated factors have been discussed in literature [2], [9], [10], [11], [12] based on the statistical approach such as logistic regression model, Cox regression and non-linear factor, structural equation modelling and cross-sectional analysis. These methods are widely used for exploring associated factors due to their simplicity and easy understanding.…”

Section: Prioritizationmentioning

confidence: 99%

An overview of modelling approaches and potential solution towards an endgame of tobacco

Halim¹,

Sapiri²,

Abidin³

2015

AIP Conference Proceedings

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A high number of premature mortality due to tobacco use has increased worldwide. Despite control policies being implemented to reduce premature mortality, the rate of smoking prevalence is still high. Moreover, tobacco issues become increasingly difficult since many aspects need to be considered simultaneously. Thus, the purpose of this paper is to present an overview of existing modelling studies on tobacco control system. The background section describes the tobacco issues and its current trends. These models have been categorised according to their modelling approaches either individual or integrated approaches. Next, a framework of modelling approaches based on the integration of multi-criteria decision making, system dynamics and nonlinear programming is proposed, expected to reduce the smoking prevalence. This framework provides guideline for modelling the interaction between smoking behaviour and its impacts, tobacco control policies and the effectiveness of each strategy in healthcare.

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