The Primitive Cognitive Network Process in healthcare and medical decision making: Comparisons with the Analytic Hierarchy Process

Kevin Kam Fung Yuen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

53 Citations (Scopus)

Abstract

Analytic Hierarchy Process (AHP) is increasingly applied to healthcare and medical research and applications. However, knowledge representation of pairwise reciprocal matrix is still dubious. This research discusses the related drawbacks, and recommends pairwise opposite matrix as the ideal alternative. Pairwise opposite matrix is the key foundation of Primitive Cognitive Network Process (P-CNP), which revises the AHP approach with practical changes. A medical decision treatment evaluation using AHP is revised by P-CNP with a step-by-step tutorial. Comparisons with AHP have been discussed. The proposed method could be a promising decision tool to replace AHP to share information among patients or/and doctors, and to evaluate therapies, medical treatments, health care technologies, medical resources, and healthcare policies.

Original languageEnglish
Pages (from-to)109-119
Number of pages11
JournalApplied Soft Computing
Volume14
Issue numberPART A
DOIs
Publication statusPublished - 2014

Keywords

  • Cognitive computing
  • Medical and healthcare decision making
  • Medical and healthcare measurement
  • Paired comparison
  • Pairwise comparison matrix
  • Psychometric

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