Application of Machine Learning in medical data analysis illustrated with an example of association rules
Beata Butryn, Iwona Chomiak-Orsa, Krzysztof Hauke, Maciej Pondel, Agnieszka Siennicka
Abstract
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.
Topics & Concepts
Computer scienceAssociation rule learningIdentification (biology)Association (psychology)Feature (linguistics)Data miningMachine learningArtificial intelligenceEpistemologyLinguisticsBotanyBiologyPhilosophyArtificial Intelligence in HealthcareData Mining Algorithms and Applications