A Framework for Modeling Critical Success Factors in the Selection of Machine Learning Algorithms for Breast Cancer Recognition

Miguel Angel Quiroz Martinez, Eddy Raul Montenegro Marin, Galo Enrique Valverde Landivar, Maikel Yelandi Leyva Vazquez

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

1 Scopus citations

Abstract

Analysis of critical success factors allows software development organizations to focus on the factors to be successful. Selecting and implementing an algorithm for bosom cancer recognition could be hard. In this paper, a framework for modeling and analysis of success factors for the selection of Machine Learning methods used for the recognition of bosom cancer is presented. The objective is to analyze critical success factors in Machine Learning techniques selection for bosom cancer recognition built on Fuzzy Mental Maps. A group of common ML algorithms is presented in conjunction with the success factors. An analysis through measures calculation is presented in a case study. It was concluded that relevant factors for the selection of ML algorithms in the recognition of bosom cancer are: Selection of an ML algorithm according to the results, the study of ML algorithms tested in bosom cancer, obtaining and analyzing algorithm results.

Original languageEnglish
Title of host publicationHuman Interaction, Emerging Technologies and Future Systems V - Proceedings of the 5th International Virtual Conference on Human Interaction and Emerging Technologies, IHIET 2021 and the 6th IHIET
Subtitle of host publicationFuture Systems IHIET-FS 2021
EditorsTareq Ahram, Redha Taiar
PublisherSpringer Science and Business Media Deutschland GmbH
Pages874-881
Number of pages8
ISBN (Print)9783030855390
DOIs
StatePublished - 2022
Event5th International Virtual Conference on Human Interaction and Emerging Technologies, IHIET 2021 and 6th International Conference on Human Interaction and Emerging Technologies: Future Systems, IHIET-FS 2021 - Virtual, Online
Duration: 27 Aug 202129 Aug 2021

Publication series

NameLecture Notes in Networks and Systems
Volume319

Conference

Conference5th International Virtual Conference on Human Interaction and Emerging Technologies, IHIET 2021 and 6th International Conference on Human Interaction and Emerging Technologies: Future Systems, IHIET-FS 2021
CityVirtual, Online
Period27/08/2129/08/21

Bibliographical note

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

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • Bosom cancer recognition
  • Critical success factors
  • Fuzzy Mental Maps
  • Machine learning

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