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Analysis on dengue severity using machine learning approach

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.

Dades bibliogràfiques
Autors principals: Sayeed, Sanjana, Rashid, Iktisad, Sotej, Muktadir Rabbi
Altres autors: Ajwad, Rasif
Format: Thesis
Idioma:English
Publicat: Brac University 2021
Matèries:
Dengue
DSS
DHF
Supervised
Unsupervised
Hierarchical clustering
Xg-boosting
Clinical data
Machine Learning
Accés en línia:http://hdl.handle.net/10361/15734
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http://hdl.handle.net/10361/15734

Ítems similars

  • Seroprevalence and clinical characteristics investigation of Dengue virus infection in rural Bangladesh during 2019 Dengue outbreak
    per: Rashed, Afsana
    Publicat: (2021)
  • Frequent dengue outbreaks in South Asian countries: analysis of associated risk factors and possible preventive measures
    per: Islam, Mohibul
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  • An overview on the prevalence and diagnosis of dengue
    per: Ashik-Uz- Zaman
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  • Detection of circulating dengue virus serotypes of 2021 dengue outbreak in Dhaka, Bangladesh
    per: Rahmat, Raad
    Publicat: (2023)
  • Clinical evaluation of dengue and identification of risk factors for severe disease: protocol for a multicentre study in 8 countries
    per: Jaenisch, Thomas, et al.
    Publicat: (2018)

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