Knowledge Discovery About Cancer Based on Fuzzy Predicates

Miguel Angel Quiroz Martinez, Christian Rene Vargas Alava, Monica Daniela Gomez Rios, Maikel Yelandi Leyva Vazquez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Knowledge discovery information was analyzed in references regarding the health area. The problem is the lack of a generalized classification of cancer-based on fuzzy predicates, the challenge is the extraction of information from a data set. The objective is to perform a fuzzy predicate based on cancer knowledge discovery analysis to find time optimization of data and results. Empirical - analytical research with a quantitative approach was applied, its method is quasi-experimental and the technique of sampling a specific group of references was used. The application of materials resulted in an Analysis of the relationship between variables, a correlation between Monoplot, and Similarities between observations. It was concluded that the discovery of knowledge generates new quantitative information on the correlations between the attributes belonging to a data set; We use Principal Component Analysis which is a knowledge-based model to analyze positive or negative correlations between attributes or variables.

Original languageEnglish
Title of host publicationAdvances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2021 Virtual Conferences on Human Factors in Software and Systems Engineering, Artificial Intelligence and Social Computing, and Energy, 2021
EditorsTareq Z. Ahram, Waldemar Karwowski, Jay Kalra
PublisherSpringer Science and Business Media Deutschland GmbH
Pages242-250
Number of pages9
ISBN (Print)9783030806231
DOIs
StatePublished - 2021
EventAHFE Conferences on Human Factors in Software and Systems Engineering, Artificial Intelligence and Social Computing, and Energy, 2021 - Virtual, Online
Duration: 25 Jul 202129 Jul 2021

Publication series

NameLecture Notes in Networks and Systems
Volume271

Conference

ConferenceAHFE Conferences on Human Factors in Software and Systems Engineering, Artificial Intelligence and Social Computing, and Energy, 2021
CityVirtual, Online
Period25/07/2129/07/21

Bibliographical note

Funding Information:
This work has been supported by the GIIAR research group and the Universidad Polit?cnica Salesiana.

Funding Information:
Acknowledgments. This work has been supported by the GIIAR research group and the Universidad Politécnica Salesiana.

Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • Cancer diagnosis
  • Correlation between variables
  • Fuzzy predicates
  • Knowledge discovery
  • Knowledge extraction

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