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Related Concept Videos

Decision Making: P-value Method01:09

Decision Making: P-value Method

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 have a...
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Heuristics

Heuristics are problem-solving strategies that use mental shortcuts to simplify decision-making. Unlike algorithms, which must be followed precisely to achieve a correct result, heuristics offer a general problem-solving framework. They save time and energy but can sometimes lead to less rational decisions.
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The Availability Heuristic01:08

The Availability Heuristic

A heuristic is a general problem-solving framework (Tversky & Kahneman, 1974). You can think of these as mental shortcuts that are used to solve problems. Different types of heuristics are used in different types of situations, and the impulse to use a heuristic occurs when one of five conditions is met (Pratkanis, 1989):
The Power Flow Problem and Solution01:26

The Power Flow Problem and Solution

Power flow problem analysis is fundamental for determining real and reactive power flows in network components, such as transmission lines, transformers, and loads. The power system's single-line diagram provides data on the bus, transmission line, and transformer. Each bus k in the system is characterized by four key variables: voltage magnitude Vk​, phase angle δk​, real power Pk​, and reactive power Qk​. Two of these four variables are inputs, while the power flow program computes the...
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
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Mathematical Modeling: Problem Solving

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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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Published on: December 9, 2012

[Utilities: a solution of a decision problem?].

Michael Koller1, Christian Ohmann, Wilfried Lorenz

  • 1Zentrum für Klinische Studien, Universitätsklinikum Regensburg. michael.koller@klinik.uni-regensburg.de

Zeitschrift Fur Evidenz, Fortbildung Und Qualitat Im Gesundheitswesen
|February 17, 2009
PubMed
Summary
This summary is machine-generated.

The utility approach in medical decision-making quantifies health states from 0 (death) to 1 (perfect health). Despite its utility in resolving complex problems, criticisms regarding its rational perspective and measurement methods have limited its acceptance.

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Last Updated: Jun 25, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

Area of Science:

  • Medical Decision Making
  • Health Economics
  • Philosophy of Medicine

Background:

  • The utility approach, rooted in utilitarian philosophy, quantifies health states on a scale from 0 (death) to 1 (perfect health).
  • It is applied in medical decision-making to evaluate outcomes and resolve complex problems using decision trees and expected utilities.

Purpose of the Study:

  • To explore the utility approach in medical decision-making.
  • To discuss its operationalization, application, and criticisms.
  • To examine its limited acceptance in Germany and the ongoing debate on healthcare goals.

Main Methods:

  • Conceptual analysis of the utility approach and its philosophical origins.
  • Explanation of operationalization using a 0-1 scale and decision trees.
  • Discussion of criticisms regarding rational perspectives and measurement techniques (Standard Gamble, Time Trade Off).

Main Results:

  • The utility approach provides a quantitative framework for health state evaluation.
  • Criticisms related to its rational perspective and measurement methods have hindered its adoption.
  • The utility approach has not been widely accepted in Germany, unlike in Anglo-American contexts.

Conclusions:

  • The utility approach offers a valuable tool for medical decision-making, despite its limitations.
  • Ongoing debates in Germany regarding healthcare goals may necessitate a re-evaluation of the utility approach.
  • Further discussion is needed to determine if the utility concept will be reconsidered in German healthcare.