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- W4226307195 abstract "Many approaches have been used in the past to address issues of spreading infectious diseases in the society with inclusion of reporting system. However, there is less or no study on the use of machine learning techniques in designing the reporting system for infectious diseases. Thus, the main objective of this study is to design an infectious disease reporting system that makes use of Naïve Bayes classification algorithm. The issue was addressed through a quantitative research approach to design a system that uses Naïve Bayes classification algorithm while reporting infectious diseases with respect to their associated symptoms. A model was developed together with system Pseudocode and the result revealed that the use of machine learning technique in the study eases the recommendation aspect of the system toward creating awareness of infectious diseases in the society. Hence, the study may serve as assistance to healthcare industry toward mitigation or eradication of infectious diseases in the societies." @default.
- W4226307195 created "2022-05-05" @default.
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- W4226307195 date "2022-01-01" @default.
- W4226307195 modified "2023-09-27" @default.
- W4226307195 title "Infectious Diseases Reporting System Using Naïve Bayes Classification Algorithm" @default.
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- W4226307195 doi "https://doi.org/10.1007/978-981-19-1076-0_24" @default.
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