Utilization of Random Forest and Deep Learning Neural Network for Predicting Factors Affecting Perceived Usability of a COVID-19 Contact Tracing Mobile Application in Thailand “ThaiChana”

The continuous rise of the COVID-19 Omicron cases despite the vaccination program available has been progressing worldwide. To mitigate the COVID-19 contraction, different contact tracing applications have been utilized such as Thai Chana from Thailand. This study aimed to predict factors affecting...

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Detalles Bibliográficos
Autores principales: Ong, Ardvin Kester S., Chuenyindee, Thanatorn, Prasetyo, Yogi Tri, Nadlifatin, Reny, Persada, Satria Fadil, Gumasing, Ma. Janice J., German, Josephine D., Robas, Kirstien Paola E., Young, Michael N., Sittiwatethanasiri, Thaninrat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141929/
https://www.ncbi.nlm.nih.gov/pubmed/35627647
http://dx.doi.org/10.3390/ijerph19106111

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141929/
https://www.ncbi.nlm.nih.gov/pubmed/35627647
http://dx.doi.org/10.3390/ijerph19106111

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