Neutrosophic Recommender System for Medical Diagnosis Based on Algebraic Similarity Measure and Clustering

Thanh, Nguyen Dang and Son, Le Hoang and Ali, Mumtaz ORCID: https://orcid.org/0000-0002-6975-5159 (2017) Neutrosophic Recommender System for Medical Diagnosis Based on Algebraic Similarity Measure and Clustering. In: 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 9 July - 12 July 2017, Naples, Italy.


Abstract

In this paper, we propose a neutrosophic recommender system for medical diagnosis using both neutrosophic similarity measure and neutrosophic clustering to capture the treatment of similar patients at different levels within a concurrent group. The proposed algorithm allows similar patients being treated concurrently in a group. Firstly, the similarities are measured based on the algebraic operations and their theoretic properties. Secondly, a clustering algorithm is used to identify neighbors that are in the same cluster and share common characteristics. Then, a prediction formula using results of both the clustering algorithm and the similarity measures is designed. Experiment indicates the advantages and superiority of the proposal.


Statistics for USQ ePrint 48723
Statistics for this ePrint Item
Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Files associated with this item cannot be displayed due to copyright restrictions.
Faculty/School / Institute/Centre: Historic - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences (1 Jul 2013 - 5 Sep 2019)
Faculty/School / Institute/Centre: Historic - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences (1 Jul 2013 - 5 Sep 2019)
Date Deposited: 07 Jun 2022 01:42
Last Modified: 22 Aug 2022 05:18
Uncontrolled Keywords: Clustering, Medical diagnosis, Neutrosophic set, Neutrosophic recommender system, Similarity measures
Fields of Research (2008): 11 Medical and Health Sciences > 1117 Public Health and Health Services > 111717 Primary Health Care
01 Mathematical Sciences > 0102 Applied Mathematics > 010299 Applied Mathematics not elsewhere classified
01 Mathematical Sciences > 0102 Applied Mathematics > 010203 Calculus of Variations, Systems Theory and Control Theory
Fields of Research (2020): 49 MATHEMATICAL SCIENCES > 4901 Applied mathematics > 490103 Calculus of variations, mathematical aspects of systems theory and control theory
42 HEALTH SCIENCES > 4203 Health services and systems > 420319 Primary health care
49 MATHEMATICAL SCIENCES > 4901 Applied mathematics > 490199 Applied mathematics not elsewhere classified
Identification Number or DOI: https://doi.org/10.1109/FUZZ-IEEE.2017.8015387
URI: http://eprints.usq.edu.au/id/eprint/48723

Actions (login required)

View Item Archive Repository Staff Only