Neutrosophic Recommender System for Medical Diagnosis Based on Algebraic Similarity Measure and Clustering
Paper
Paper/Presentation Title | Neutrosophic Recommender System for Medical Diagnosis Based on Algebraic Similarity Measure and Clustering |
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Presentation Type | Paper |
Authors | Thanh, Nguyen Dang (Author), Son, Le Hoang (Author) and Ali, Mumtaz (Author) |
Journal or Proceedings Title | Proceedings of the 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) |
ERA Conference ID | 42942 |
Number of Pages | 6 |
Year | 2017 |
Place of Publication | Piscataway, United States |
ISBN | 9781509060351 |
9781509060344 | |
Digital Object Identifier (DOI) | https://doi.org/10.1109/FUZZ-IEEE.2017.8015387 |
Web Address (URL) of Paper | https://ieeexplore.ieee.org/document/8015387 |
Conference/Event | 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) |
IEEE International Conference on Fuzzy Systems | |
Event Details | IEEE International Conference on Fuzzy Systems FUZZ-IEEE Rank A A A A A A A A A A A A A A A |
Event Details | 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Event Date 09 to end of 12 Jul 2017 Event Location 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. |
Keywords | Clustering, Medical diagnosis, Neutrosophic set, Neutrosophic recommender system, Similarity measures |
ANZSRC Field of Research 2020 | 490103. Calculus of variations, mathematical aspects of systems theory and control theory |
420319. Primary health care | |
490199. Applied mathematics not elsewhere classified | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | People’s Police University of Technology and Logistics, Vietnam |
Vietnam National University, Vietnam | |
University of Southern Queensland | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q7606/neutrosophic-recommender-system-for-medical-diagnosis-based-on-algebraic-similarity-measure-and-clustering
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