A hybrid particle swarm optimization based fuzzy expert system for the diagnosis of coronary artery disease
This paper presents a particle swarm optimization (PSO)-based fuzzy expert system for the diagnosis of coronary artery disease (CAD). The designed system is based on the Cleveland and Hungarian Heart Disease datasets. Since the datasets consist of many input attributes, decision tree (DT) was used t...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2013
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/96069 http://hdl.handle.net/10220/11242 |
| _version_ | 1811678947410182144 |
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| author | Muthukaruppan, S. Er, Meng Joo |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Muthukaruppan, S. Er, Meng Joo |
| author_sort | Muthukaruppan, S. |
| collection | NTU |
| description | This paper presents a particle swarm optimization (PSO)-based fuzzy expert system for the diagnosis of coronary artery disease (CAD). The designed system is based on the Cleveland and Hungarian Heart Disease datasets. Since the datasets consist of many input attributes, decision tree (DT) was used to unravel the attributes that contribute towards the diagnosis. The output of the DT was converted into crisp if–then rules and then transformed into fuzzy rule base. PSO was employed to tune the fuzzy membership functions (MFs). Having applied the optimized MFs, the generated fuzzy expert system has yielded 93.27% classification accuracy. The major advantage of this approach is the ability to interpret the decisions made from the created fuzzy expert system, when compared with other approaches. |
| first_indexed | 2024-10-01T03:01:21Z |
| format | Journal Article |
| id | ntu-10356/96069 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:01:21Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | ntu-10356/960692020-03-07T13:57:26Z A hybrid particle swarm optimization based fuzzy expert system for the diagnosis of coronary artery disease Muthukaruppan, S. Er, Meng Joo School of Electrical and Electronic Engineering School of Mechanical and Aerospace Engineering DRNTU::Engineering::Mechanical engineering::Bio-mechatronics This paper presents a particle swarm optimization (PSO)-based fuzzy expert system for the diagnosis of coronary artery disease (CAD). The designed system is based on the Cleveland and Hungarian Heart Disease datasets. Since the datasets consist of many input attributes, decision tree (DT) was used to unravel the attributes that contribute towards the diagnosis. The output of the DT was converted into crisp if–then rules and then transformed into fuzzy rule base. PSO was employed to tune the fuzzy membership functions (MFs). Having applied the optimized MFs, the generated fuzzy expert system has yielded 93.27% classification accuracy. The major advantage of this approach is the ability to interpret the decisions made from the created fuzzy expert system, when compared with other approaches. 2013-07-11T08:55:25Z 2019-12-06T19:25:12Z 2013-07-11T08:55:25Z 2019-12-06T19:25:12Z 2012 2012 Journal Article https://hdl.handle.net/10356/96069 http://hdl.handle.net/10220/11242 10.1016/j.eswa.2012.04.036 en Expert systems with applications © 2012 Elsevier Ltd. |
| spellingShingle | DRNTU::Engineering::Mechanical engineering::Bio-mechatronics Muthukaruppan, S. Er, Meng Joo A hybrid particle swarm optimization based fuzzy expert system for the diagnosis of coronary artery disease |
| title | A hybrid particle swarm optimization based fuzzy expert system for the diagnosis of coronary artery disease |
| title_full | A hybrid particle swarm optimization based fuzzy expert system for the diagnosis of coronary artery disease |
| title_fullStr | A hybrid particle swarm optimization based fuzzy expert system for the diagnosis of coronary artery disease |
| title_full_unstemmed | A hybrid particle swarm optimization based fuzzy expert system for the diagnosis of coronary artery disease |
| title_short | A hybrid particle swarm optimization based fuzzy expert system for the diagnosis of coronary artery disease |
| title_sort | hybrid particle swarm optimization based fuzzy expert system for the diagnosis of coronary artery disease |
| topic | DRNTU::Engineering::Mechanical engineering::Bio-mechatronics |
| url | https://hdl.handle.net/10356/96069 http://hdl.handle.net/10220/11242 |
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