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.
|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||9|
|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:
This work has been supported by the GIIAR research group and the Universidad Polit?cnica Salesiana.
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
- Decision clinical
- Machine Learning
- Medical data
- Multicriteria method
- Support aystem