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Artificial intelligence applied to care (II): algorithms and applications.

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Summary

This study showcases machine learning and process mining applications in healthcare, focusing on practical case studies and their results. These methods offer valuable insights for improving healthcare processes, particularly within the Spanish context.

Keywords:
AlgorithmsAlgoritmosArtificial intelligenceDecision makingEnfermeríaInteligencia artificialNursingToma de decisiones

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Area of Science:

  • Health Informatics
  • Computer Science
  • Data Science

Background:

  • Machine learning and process mining are increasingly vital for optimizing healthcare operations.
  • The previous article introduced these techniques; this study provides practical applications.
  • Understanding the Spanish healthcare context is crucial for relevant case studies.

Purpose of the Study:

  • To present case studies applying machine learning and process mining in healthcare.
  • To highlight the achieved results of these computational methods.
  • To demonstrate the relevance of these techniques to the Spanish healthcare system.

Main Methods:

  • Application of selected machine learning algorithms.
  • Utilization of process mining techniques.
  • Analysis of case studies with a focus on outcomes.

Main Results:

  • Demonstration of successful applications of machine learning in healthcare settings.
  • Illustration of process mining's effectiveness in analyzing healthcare workflows.
  • Quantification of achieved results from the implemented methods.

Conclusions:

  • Machine learning and process mining are effective tools for healthcare improvement.
  • Case studies confirm the practical value and positive outcomes of these methods.
  • The presented techniques are applicable and beneficial to the Spanish healthcare context.