Predicting COVID-19 disease outcome and post-recovery conditions using machine learning
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.
Asıl Yazarlar: | Sajid, Abul Kasem, Kabir, Fahim, Rahman, Hasibur, Kundu, Indronil, Zaman, Sheersho |
---|---|
Diğer Yazarlar: | Hossain, Muhammad Iqbal |
Materyal Türü: | Tez |
Dil: | English |
Baskı/Yayın Bilgisi: |
Brac University
2021
|
Konular: | |
Online Erişim: | http://hdl.handle.net/10361/15433 |
Benzer Materyaller
-
Characterization and prevalence of Post-COVID symptoms among recovered patients in Bangladesh
Yazar:: Sharmeen, Iffat Ara
Baskı/Yayın Bilgisi: (2023) -
A comprehensive look into the association of diabetes with COVID- 19
Yazar:: Antora, Sabrina Islam
Baskı/Yayın Bilgisi: (2023) -
Determination of symptom association with COVID-19
Yazar:: Mahbub -E- Sobhanee, S.M.
Baskı/Yayın Bilgisi: (2022) -
Clinical features & outcomes of hospitalized patients with Covid-19 in Dhaka: a single-centered cross-sectional descriptive study
Yazar:: Sakib, KM Rashidul Islam
Baskı/Yayın Bilgisi: (2024) -
Follow-Up of practiced treatment regimens & health conditions of recovered patients of COVID-19 residing in Dhaka city: A survey-based descriptive cross-sectional study
Yazar:: Khan, Tahsin Shahrin
Baskı/Yayın Bilgisi: (2021)