eng Science and Education Publishing Journal of Computer Sciences and Applications 2328-725X 2024-08-25 12 1 17 24 10.12691/jcsa-12-1-3 JCSA20241213 article Pablo Eliseo Reynoso-Aguirre pablo.eliseo.reynoso@est.fib.upc.edu, pablo.reynoso9@gmail.com 1 Pedro Flores-P¨¦rez 2 Computer Science Department, Universitat Polit¨¨cnica de Catalunya UPC, Barcelona, Spain Mathematics Department, University of Sonora, Hermosillo, M¨¦xico Clinical trial classification problem (CTCP) is one of the cutting-edge real-life applications in biomedical informatics, especially in the domain considered in this paper, namely breast cancer. The task consists in the development of models able to discriminate patient¡¯s eligibility profile at breast cancer trials based on performance status (PS) labels. The task has gained relevance at medical research and practice in the framework of decision support systems. Besides, the task has been considered a meaningful instrument for an accurate selection of participants at experimentations resulting in no health-behavioral drug side effects on participants. https://pubs.sciepub.com/jcsa/12/1/3/jcsa-12-1-3.pdf ECOG KPS performance status eligibility criteria clinical trial classification multinomial linear regression multinomial naive bayes multilayer perceptron support vector machines