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Utilization of Random Forest Classifier and Artificial Neural Network for Predicting Factors Influencing the Perceived Usability of COVID-19 Contact Tracing “MorChana” in Thailand
With the constant mutation of COVID-19 variants, the need to reduce the spread should be explored. MorChana is a mobile application utilized in Thailand to help mitigate the spread of the virus. This study aimed to explore factors affecting the actual use (AU) of the application through the use of m...
Autores principales: | Ong, Ardvin Kester S., Prasetyo, Yogi Tri, Yuduang, Nattakit, Nadlifatin, Reny, Persada, Satria Fadil, Robas, Kirstien Paola E., Chuenyindee, Thanatorn, Buaphiban, Thapanat |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9265314/ https://www.ncbi.nlm.nih.gov/pubmed/35805634 http://dx.doi.org/10.3390/ijerph19137979 |
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