Knowledge Inferencing Using Artificial Bee Colony and Rough Set for Diagnosis of Hepatitis Disease

نویسندگان

چکیده

Vast volumes of raw data are generated from the digital world each day. Acquiring useful information and chief features this is challenging, it has become a prime area current research. Another crucial knowledge inferencing. Much research been carried out in both directions. Swarm intelligence used for feature selection whereas inferencing either fuzzy or rough computing widely used. Hybridization intelligent swarm techniques booming recently. In work, authors hybridize artificial bee colony set. At initial phase, they employ an to find features. Further, these main analyzed using set generating rules. The proposed model indeed helps diagnose disease carefully. An empirical analysis on hepatitis dataset. addition, comparative study also presented. shows viability model.

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ژورنال

عنوان ژورنال: International Journal of Healthcare Information Systems and Informatics

سال: 2021

ISSN: ['1555-3396', '1555-340X']

DOI: https://doi.org/10.4018/ijhisi.20210401.oa3