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.
Päätekijät: | Sayeed, Sanjana, Rashid, Iktisad, Sotej, Muktadir Rabbi |
---|---|
Muut tekijät: | Ajwad, Rasif |
Aineistotyyppi: | Opinnäyte |
Kieli: | English |
Julkaistu: |
Brac University
2021
|
Aiheet: | |
Linkit: | http://hdl.handle.net/10361/15734 |
Samankaltaisia teoksia
-
Seroprevalence and clinical characteristics investigation of Dengue virus infection in rural Bangladesh during 2019 Dengue outbreak
Tekijä: Rashed, Afsana
Julkaistu: (2021) -
Frequent dengue outbreaks in South Asian countries: analysis of associated risk factors and possible preventive measures
Tekijä: Islam, Mohibul
Julkaistu: (2024) -
An overview on the prevalence and diagnosis of dengue
Tekijä: Ashik-Uz- Zaman
Julkaistu: (2018) -
Detection of circulating dengue virus serotypes of 2021 dengue outbreak in Dhaka, Bangladesh
Tekijä: Rahmat, Raad
Julkaistu: (2023) -
Clinical evaluation of dengue and identification of risk factors for severe disease: protocol for a multicentre study in 8 countries
Tekijä: Jaenisch, Thomas, et al.
Julkaistu: (2018)