Zobrazeno 1 - 6
of 6
pro vyhledávání: '"DHF prediction"'
Publikováno v:
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), Vol 6, Iss 4, Pp 612-623 (2022)
This study proposes a prediction of the classification of the spread of dengue hemorrhagic fever (DHF) with the expansion of the Random Forest (RF) feature based on spatial time. The RF classification model was developed by extending the features bas
Externí odkaz:
https://doaj.org/article/e0738a945ad84a17ab8c50145ea77770
Autor:
Mihira Manamperi, Bernard Deepal Wanniarachchi Jayamanne, Thilini Somaratne, Natasha Perera, LakKumar Fernando
Publikováno v:
BMC Research Notes, Vol 12, Iss 1, Pp 1-4 (2019)
Abstract Objective Dengue haemorrhagic fever (DHF) is a major public health concern responsible for significant morbidity in both adult and paediatric populations in Sri Lanka. This study examined if persistent non structural protein 1 (NS1) antigen
Externí odkaz:
https://doaj.org/article/7822ba4c547245f8ac9f633945c1765d
Publikováno v:
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi); Vol 6 No 4 (2022): Agustus 2022; 612-623
This study proposes a prediction of the classification of the spread of dengue hemorrhagic fever (DHF) with the expansion of the Random Forest (RF) feature based on spatial time. The RF classification model was developed by extending the features bas
Publikováno v:
BMC Research Notes, Vol 12, Iss 1, Pp 1-4 (2019)
BMC Research Notes
BMC Research Notes
Objective Dengue haemorrhagic fever (DHF) is a major public health concern responsible for significant morbidity in both adult and paediatric populations in Sri Lanka. This study examined if persistent non structural protein 1 (NS1) antigen positivit
Akademický článek
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Using climate-based DHF prediction as warning system A three-month in advance warning system for upcoming DHF epidemics is developed. The system uses a simple predictive regression model based on past and present DHF cases, climate and meteorological
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2356::e3c396db3304a2186312050d68fab632
http://repository.unhas.ac.id/handle/123456789/2311
http://repository.unhas.ac.id/handle/123456789/2311