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.
Hoofdauteurs: | Sajid, Abul Kasem, Kabir, Fahim, Rahman, Hasibur, Kundu, Indronil, Zaman, Sheersho |
---|---|
Andere auteurs: | Hossain, Muhammad Iqbal |
Formaat: | Thesis |
Taal: | English |
Gepubliceerd in: |
Brac University
2021
|
Onderwerpen: | |
Online toegang: | http://hdl.handle.net/10361/15433 |
Gelijkaardige items
-
Characterization and prevalence of Post-COVID symptoms among recovered patients in Bangladesh
door: Sharmeen, Iffat Ara
Gepubliceerd in: (2023) -
A comprehensive look into the association of diabetes with COVID- 19
door: Antora, Sabrina Islam
Gepubliceerd in: (2023) -
Determination of symptom association with COVID-19
door: Mahbub -E- Sobhanee, S.M.
Gepubliceerd in: (2022) -
Clinical features & outcomes of hospitalized patients with Covid-19 in Dhaka: a single-centered cross-sectional descriptive study
door: Sakib, KM Rashidul Islam
Gepubliceerd in: (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
door: Khan, Tahsin Shahrin
Gepubliceerd in: (2021)