PSO-Optimized CoVID-19 MLP-NARX mortality prediction model

• Main Authors: Ihsan, Mohd Yassin, Azlee, Zabidi, Megat Syahirul Amin, Ali, Rahimi, Baharom
• Format: Conference or Workshop Item
• Language: English; English
• Published: Institute of Electrical and Electronics Engineers Inc. 2021
• Subjects: QA75 Electronic computers. Computer science; QA76 Computer software; T Technology (General); TA Engineering (General). Civil engineering (General)
• Online Access: 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; http://umpir.ump.edu.my/id/eprint/42393/; https://doi.org/10.1109/IEACon51066.2021.9654684

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...