Author:
Farooq Sajid,Del-Valle Matheus,Santos Sofia,Bernandes Emerson Soares,Zezell Denise Maria
Abstract
We present a computational framework based on machine learning classifiers K-Nearest Neighbors and Neighborhood Component analysis for breast cancer (BC) subtypes prognostic. Our results has up to 97% accuracy for prognostic stratification of BC subtypes.
Cited by
1 articles.
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1. Identification of Basal Cell Carcinoma Skin Cancer using FTIR and Machine Learning;2023 International Conference on Optical MEMS and Nanophotonics (OMN) and SBFoton International Optics and Photonics Conference (SBFoton IOPC);2023-07-30