PSO-Optimized CoVID-19 MLP-NARX mortality prediction model
Mortality prediction models localized for Malaysia is limited, warranting a research gap to study further. A predictive model for CoVID-19 mortality prediction is presented in this paper. The model utilized the MLP-NARX structure. Parameters for the model were optimized using PSO. Prediction results...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
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Institute of Electrical and Electronics Engineers Inc.
2021
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| Online Access: | http://umpir.ump.edu.my/id/eprint/42393/ http://umpir.ump.edu.my/id/eprint/42393/1/PSO-optimized%20CoVID-19%20MLP-NARX%20mortality%20prediction%20model.pdf http://umpir.ump.edu.my/id/eprint/42393/2/PSO-optimized%20CoVID-19%20MLP-NARX%20mortality%20prediction%20model_ABS.pdf |
| _version_ | 1848826599638564864 |
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| author | Ihsan, Mohd Yassin Azlee, Zabidi Megat Syahirul Amin, Ali Rahimi, Baharom |
| author_facet | Ihsan, Mohd Yassin Azlee, Zabidi Megat Syahirul Amin, Ali Rahimi, Baharom |
| author_sort | Ihsan, Mohd Yassin |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Mortality prediction models localized for Malaysia is limited, warranting a research gap to study further. A predictive model for CoVID-19 mortality prediction is presented in this paper. The model utilized the MLP-NARX structure. Parameters for the model were optimized using PSO. Prediction results yielded average MSE value of 8.1141× 10× {-7} with acceptable validation results. |
| first_indexed | 2025-11-15T03:47:23Z |
| format | Conference or Workshop Item |
| id | ump-42393 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T03:47:23Z |
| publishDate | 2021 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-423932024-10-30T04:40:12Z http://umpir.ump.edu.my/id/eprint/42393/ PSO-Optimized CoVID-19 MLP-NARX mortality prediction model Ihsan, Mohd Yassin Azlee, Zabidi Megat Syahirul Amin, Ali Rahimi, Baharom QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) Mortality prediction models localized for Malaysia is limited, warranting a research gap to study further. A predictive model for CoVID-19 mortality prediction is presented in this paper. The model utilized the MLP-NARX structure. Parameters for the model were optimized using PSO. Prediction results yielded average MSE value of 8.1141× 10× {-7} with acceptable validation results. Institute of Electrical and Electronics Engineers Inc. 2021 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/42393/1/PSO-optimized%20CoVID-19%20MLP-NARX%20mortality%20prediction%20model.pdf pdf en http://umpir.ump.edu.my/id/eprint/42393/2/PSO-optimized%20CoVID-19%20MLP-NARX%20mortality%20prediction%20model_ABS.pdf Ihsan, Mohd Yassin and Azlee, Zabidi and Megat Syahirul Amin, Ali and Rahimi, Baharom (2021) PSO-Optimized CoVID-19 MLP-NARX mortality prediction model. In: IEACon 2021 - 2021 IEEE Industrial Electronics and Applications Conference. 2nd IEEE Industrial Electronics and Applications Conference, IEACon 2021 , 22 - 23 November 2021 , Virtual, Online. pp. 308-312.. ISBN 978-172819253-6 (Published) https://doi.org/10.1109/IEACon51066.2021.9654684 |
| spellingShingle | QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) Ihsan, Mohd Yassin Azlee, Zabidi Megat Syahirul Amin, Ali Rahimi, Baharom PSO-Optimized CoVID-19 MLP-NARX mortality prediction model |
| title | PSO-Optimized CoVID-19 MLP-NARX mortality prediction model |
| title_full | PSO-Optimized CoVID-19 MLP-NARX mortality prediction model |
| title_fullStr | PSO-Optimized CoVID-19 MLP-NARX mortality prediction model |
| title_full_unstemmed | PSO-Optimized CoVID-19 MLP-NARX mortality prediction model |
| title_short | PSO-Optimized CoVID-19 MLP-NARX mortality prediction model |
| title_sort | pso-optimized covid-19 mlp-narx mortality prediction model |
| topic | QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) |
| url | http://umpir.ump.edu.my/id/eprint/42393/ http://umpir.ump.edu.my/id/eprint/42393/ http://umpir.ump.edu.my/id/eprint/42393/1/PSO-optimized%20CoVID-19%20MLP-NARX%20mortality%20prediction%20model.pdf http://umpir.ump.edu.my/id/eprint/42393/2/PSO-optimized%20CoVID-19%20MLP-NARX%20mortality%20prediction%20model_ABS.pdf |