DECISION SUPPORT SYSTEMS
DECISION SUPPORT SYSTEMS(英文缩写 DECIS SUPPORT SYST),ISSN 0167-9236,eISSN 1873-5797 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
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期刊简介
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DECISION SUPPORT SYSTEMS 最新收录文献
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Re-evaluating causal inference: Bias reduction in confounder-effect modifier scenarios.
Propensity Score Matching (PSM) is a widely used method for estimating causal treatment effects, but its performance can be limited in complex scenarios. This paper examines cases where a confounder a…
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Improved healthcare disaster decision-making utilizing information extraction from complementary social media data during the COVID-19 pandemic.
Managing an extreme event like a healthcare disaster requires accurate information about the event's circumstances to comprehend the full consequences of acting. However, information quality is rarely…
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Mining voices from self-expressed messages on social-media: Diagnostics of mental distress during COVID-19.
The COVID-19 pandemic has had a severe impact on mankind, causing physical suffering and deaths across the globe. Even those who have not contracted the virus have experienced its far-reaching impacts…
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Impact of information timeliness and richness on public engagement on social media during COVID-19 pandemic: An empirical investigation based on NLP and machine learning.
This paper investigates how information timeliness and richness affect public engagement using text data from China's largest social media platform during times of the COVID-19 pandemic. We utilize a …
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Data analytics and decision-making systems: Implications of the global outbreaks.
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Victim crisis communication strategy on digital media: A study of the COVID-19 pandemic.
The COVID-19 pandemic and the lockdown bore a devastating impact on organizations across the globe. In this crisis, organizations belonged to the victim cluster, with a low crisis responsibility. Neve…
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IT-business alignment, big data analytics capability, and strategic decision-making: Moderating roles of event criticality and disruption of COVID-19.
Prior research has confirmed the importance of IT-business alignment (ITBA) and big data analytics capability (BDAC) in supporting firms' strategic decision-making under normal circumstances. However,…
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An explanatory machine learning framework for studying pandemics: The case of COVID-19 emergency department readmissions.
One of the major challenges that confront medical experts during a pandemic is the time required to identify and validate the risk factors of the novel disease and to develop an effective treatment pr…
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A decision analytic approach for social distancing policies during early stages of COVID-19 pandemic.
The COVID-19 pandemic has become a crucial public health problem in the world that disrupted the lives of millions in many countries including the United States. In this study, we present a decision a…
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Decisions on train rescheduling and locomotive assignment during the COVID-19 outbreak: A case of the Beijing-Tianjin intercity railway.
Travel restriction measures have been widely implemented to curb the continued spread of COVID-19 during the Chinese Lunar New Year celebrations. Many operation lines and train schedules of China's ra…