Knowledge-based technology in the service of health

Area of Science:

• Decision Science
• Health Informatics
• Computational Logic

Background:

• Decision-making often relies on qualitative knowledge, making quantitative assessment challenging.
• Interpreting numerical health indicators requires rigorous methods to handle complexity.

Purpose of the Study:

• To explore the application of computational logic for assessing the significance of numerical information in decision-making.
• To introduce the concept of "knowledge maps" for representing health indicators.

Main Methods:

• Utilizing computational logic to process and interpret complex data.
• Developing a framework where health indicators are visualized as knowledge maps.

Main Results:

• Computational logic provides a rigorous method for interpreting non-quantifiable knowledge.
• Knowledge maps effectively represent health indicators for enhanced understanding.

Conclusions:

• Computational logic is a valuable tool for complex decision-making involving health indicators.
• Knowledge maps offer a structured and interpretable way to present health data.