Application of Machine Learning in medical data analysis illustrated with an example of association rules

Autor:	Agnieszka Siennicka, Beata Butryn, Maciej Pondel, Iwona Chomiak-Orsa, Krzysztof Hauke
Rok vydání:	2021
Předmět:	Identification (information) Risk groups Association rule learning business.industry Computer science Feature (computer vision) General Earth and Planetary Sciences Artificial intelligence business Machine learning computer.software_genre computer General Environmental Science
Zdroj:	KES
ISSN:	1877-0509
Popis:	The authors propose a method for medical data analysis aiming to determine risk groups. The method uses association rules generation and the analysis of a selected target feature. The method is presented with an example of patient analyses in regard to the possibility of suffering a stroke. The method is universal and can be used also for other medical dataset analyses leading to risk group identification.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::252f47dc3fa7eb7e8f48d706e4eb07e4 https://doi.org/10.1016/j.procs.2021.09.086 Zobrazit plný text záznamu