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.
Главные авторы: | Sayeed, Sanjana, Rashid, Iktisad, Sotej, Muktadir Rabbi |
---|---|
Другие авторы: | Ajwad, Rasif |
Формат: | Диссертация |
Язык: | English |
Опубликовано: |
Brac University
2021
|
Предметы: | |
Online-ссылка: | http://hdl.handle.net/10361/15734 |
Схожие документы
-
Seroprevalence and clinical characteristics investigation of Dengue virus infection in rural Bangladesh during 2019 Dengue outbreak
по: Rashed, Afsana
Опубликовано: (2021) -
Frequent dengue outbreaks in South Asian countries: analysis of associated risk factors and possible preventive measures
по: Islam, Mohibul
Опубликовано: (2024) -
An overview on the prevalence and diagnosis of dengue
по: Ashik-Uz- Zaman
Опубликовано: (2018) -
Detection of circulating dengue virus serotypes of 2021 dengue outbreak in Dhaka, Bangladesh
по: Rahmat, Raad
Опубликовано: (2023) -
Clinical evaluation of dengue and identification of risk factors for severe disease: protocol for a multicentre study in 8 countries
по: Jaenisch, Thomas, и др.
Опубликовано: (2018)