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.
|Title of host publication||Human 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 publication||Future Systems IHIET-FS 2021|
|Editors||Tareq Ahram, Redha Taiar|
|Publisher||Springer Science and Business Media Deutschland GmbH|
|Number of pages||8|
|State||Published - 2022|
|Event||5th 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 2021 → 29 Aug 2021
|Name||Lecture Notes in Networks and Systems|
|Conference||5th 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|
|Period||27/08/21 → 29/08/21|
Bibliographical noteFunding Information:
Acknowledgments. This work has been supported by the GIIAR research group and the Universidad Politécnica Salesiana.
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
- Bosom cancer recognition
- Critical success factors
- Fuzzy Mental Maps
- Machine learning