Abstract
On the current information in the medical area related to cancer analysis, the selection of an optimal Machine Learning algorithm, based on a multicriteria method, for a system that supports clinical decisions is sought. As a methodology, exploratory research and the deductive method were applied to analyze the information from existing articles and ML algorithms' behavior applied in the area of medicine. This research and based on a use case of training and testing of the GLM, SVM, and ANN algorithms for selecting an algorithm. Addition-ally, for clinical decisions, and architecture prototype for medical data collection is presented resulted. Based on AHP and TOPSIS methods Support Vector Machine (SVM) is the best alternative.
Original language | English |
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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 |
Pages | 1002-1010 |
Number of pages | 9 |
ISBN (Print) | 9783030855390 |
DOIs | |
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 |
Publication series
Name | Lecture Notes in Networks and Systems |
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Volume | 319 |
Conference
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 |
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City | Virtual, Online |
Period | 27/08/21 → 29/08/21 |
Bibliographical note
Funding Information:This work has been supported by the GIIAR research group and the Universidad Polit?cnica Salesiana.
Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Keywords
- Decision clinical
- Machine Learning
- Medical data
- Multicriteria method
- Support aystem