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.
Κύριοι συγγραφείς: | Sayeed, Sanjana, Rashid, Iktisad, Sotej, Muktadir Rabbi |
---|---|
Άλλοι συγγραφείς: | Ajwad, Rasif |
Μορφή: | Thesis |
Γλώσσα: | English |
Έκδοση: |
Brac University
2021
|
Θέματα: | |
Διαθέσιμο Online: | http://hdl.handle.net/10361/15734 |
Παρόμοια τεκμήρια
-
Seroprevalence and clinical characteristics investigation of Dengue virus infection in rural Bangladesh during 2019 Dengue outbreak
ανά: Rashed, Afsana
Έκδοση: (2021) -
Frequent dengue outbreaks in South Asian countries: analysis of associated risk factors and possible preventive measures
ανά: Islam, Mohibul
Έκδοση: (2024) -
An overview on the prevalence and diagnosis of dengue
ανά: Ashik-Uz- Zaman
Έκδοση: (2018) -
Detection of circulating dengue virus serotypes of 2021 dengue outbreak in Dhaka, Bangladesh
ανά: Rahmat, Raad
Έκδοση: (2023) -
Clinical evaluation of dengue and identification of risk factors for severe disease: protocol for a multicentre study in 8 countries
ανά: Jaenisch, Thomas, κ.ά.
Έκδοση: (2018)