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Related Concept Videos

Decision Making01:20

Decision Making

112
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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Reason and Intuition01:37

Reason and Intuition

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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...
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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...
4.0K
Uncertainty: Overview00:59

Uncertainty: Overview

555
In analytical chemistry, we often perform repetitive measurements to detect and minimize inaccuracies caused by both determinate and indeterminate errors. Despite the cares we take, the presence of random errors means that repeated measurements almost never have exactly the same magnitude. The collective difference between these measurements - observed values - and the estimated or expected value is called uncertainty. Uncertainty is conventionally written after the estimated or expected value.
555
Decision Making: P-value Method01:09

Decision Making: P-value Method

5.4K
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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The Anchoring-and-Adjustment Heuristic01:25

The Anchoring-and-Adjustment Heuristic

7.2K
In order to make good decisions, we use our knowledge and our reasoning. Often, this knowledge and reasoning is sound and solid. However, sometimes, we are swayed by biases or by others manipulating a situation. For example, let’s say you and three friends wanted to rent a house and had a combined target budget of $1,600. The realtor shows you only very run-down houses for $1,600 and then shows you a very nice house for $2,000. Might you ask each person to pay more in rent to get the...
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Experimental Research Examining How People Can Cope with Uncertainty Through Soft Haptic Sensations
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The Uncertainty Associated with Moving Early.

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  • 1Critical Care Program, The George Institute for Global Health and University of New South Wales, Sydney, NSW, Australia.

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Summary
This summary is machine-generated.

Patients surviving critical illness often face long-term challenges. Survivors may experience significant morbidity, poor mental health, cognitive issues, and reduced functional recovery, impacting their quality of life.

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Area of Science:

  • Critical care medicine
  • Prognosis research
  • Patient outcomes

Background:

  • Clinicians frequently address patient survival and quality of life post-critical illness.
  • While mortality rates have decreased, intensive care unit (ICU) survivors face significant long-term health challenges.

Discussion:

  • ICU survivors are at risk for substantial morbidity, including poor mental health and cognitive dysfunction.
  • Functional recovery can be compromised, leading to a reduced quality of life.
  • Frequent hospital readmissions are a common concern for these patients.

Key Insights:

  • Survival from critical illness does not guarantee a return to baseline health.
  • The long-term consequences of critical illness extend beyond physical recovery.
  • Prognosis assessment must encompass quality of life and functional status.

Outlook:

  • Further research is needed to improve long-term outcomes for critical illness survivors.
  • Developing strategies to mitigate post-ICU morbidity is crucial.
  • Enhanced support systems are required to aid functional recovery and improve quality of life.