Analysis on dengue severity using machine learning approach
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.
Príomhchruthaitheoirí: | Sayeed, Sanjana, Rashid, Iktisad, Sotej, Muktadir Rabbi |
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Rannpháirtithe: | Ajwad, Rasif |
Formáid: | Tráchtas |
Teanga: | English |
Foilsithe / Cruthaithe: |
Brac University
2021
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Ábhair: | |
Rochtain ar líne: | http://hdl.handle.net/10361/15734 |
Míreanna comhchosúla
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Seroprevalence and clinical characteristics investigation of Dengue virus infection in rural Bangladesh during 2019 Dengue outbreak
de réir: Rashed, Afsana
Foilsithe / Cruthaithe: (2021) -
Frequent dengue outbreaks in South Asian countries: analysis of associated risk factors and possible preventive measures
de réir: Islam, Mohibul
Foilsithe / Cruthaithe: (2024) -
An overview on the prevalence and diagnosis of dengue
de réir: Ashik-Uz- Zaman
Foilsithe / Cruthaithe: (2018) -
Detection of circulating dengue virus serotypes of 2021 dengue outbreak in Dhaka, Bangladesh
de réir: Rahmat, Raad
Foilsithe / Cruthaithe: (2023) -
Clinical evaluation of dengue and identification of risk factors for severe disease: protocol for a multicentre study in 8 countries
de réir: Jaenisch, Thomas, et al.
Foilsithe / Cruthaithe: (2018)