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Related Concept Videos

Decision Making01:20

Decision Making

275
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
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Decision Making: Traditional Method01:14

Decision Making: Traditional Method

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The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
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Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
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Decision Making: P-value Method01:09

Decision Making: P-value Method

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The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
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Reason and Intuition01:37

Reason and Intuition

7.0K
The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
7.0K
SBAR II: Application of SBAR01:14

SBAR II: Application of SBAR

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SBAR is an effective communication tool used by healthcare professionals to communicate patient information accurately. SBAR stands for Situation, Background, Assessment, and Recommendation. For a better understanding, an example is given below.
SBAR Report from a Nurse to a Health Care Provider
S: "Hello, Dr. Smith. This is Jane, RN, from the Med Surg unit. I am calling to tell you about Ms. White in Room 210, who is experiencing increased pain and redness at her incision site. Her recent...
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Twitter-aided decision making: a review of recent developments.

Yihong Zhang1, Masumi Shirakawa1, Yuanyuan Wang2

  • 1Graduate School of Information Science and Technology, Osaka University, Osaka, Japan.

Applied Intelligence (Dordrecht, Netherlands)
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This review analyzes recent research on using Twitter data for decision-making. Findings show improved performance in areas like sales prediction and crime prevention through advanced methods.

Keywords:
Decision supportMethodological reviewSocial mediaTwitter

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Area of Science:

  • Social Media Analytics
  • Decision Science
  • Data Mining

Background:

  • Twitter serves as a major information exchange platform.
  • Researchers have explored Twitter data for decision-making with promising results.
  • Recent advancements in Twitter-aided decision-making are evident in the last five years.

Purpose of the Study:

  • To review 28 recent papers (since 2016) advancing Twitter-aided decision-making.
  • To analyze the performance improvements achieved using Twitter data.
  • To provide a methodological analysis of techniques used in Twitter-aided decision-making.

Main Methods:

  • Literature review of 28 papers published since 2016.
  • Analysis of decision-making performance improvements attributed to Twitter data.
  • Methodological examination of problem formulation, solutions, Twitter features, and information transformation.

Main Results:

  • Twitter data has demonstrably improved decision-making performance across various domains.
  • Specific application areas include product sales prediction, stock selection, crime prevention, epidemic tracking, and traffic monitoring.
  • Methodological analysis highlights the adaptability of Twitter-aided approaches.

Conclusions:

  • Twitter data offers significant potential for enhancing decision-making processes.
  • Understanding methodological aspects is crucial for applying Twitter-aided techniques across different domains.
  • Continued research is advancing the utility of social media data in practical decision support systems.