Predicting COVID-19 disease outcome and post-recovery conditions using machine learning

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.

Bibliografiske detaljer
Main Authors:	Sajid, Abul Kasem, Kabir, Fahim, Rahman, Hasibur, Kundu, Indronil, Zaman, Sheersho
Andre forfattere:	Hossain, Muhammad Iqbal
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2021
Fag:	Symptoms Machine Learning COVID-19 Prediction ICU Emergency Random Forrest KNN COVID-19 (Disease)
Online adgang:	http://hdl.handle.net/10361/15433

Lignende værker

Characterization and prevalence of Post-COVID symptoms among recovered patients in Bangladesh
af: Sharmeen, Iffat Ara
Udgivet: (2023)

A comprehensive look into the association of diabetes with COVID- 19
af: Antora, Sabrina Islam
Udgivet: (2023)

Determination of symptom association with COVID-19
af: Mahbub -E- Sobhanee, S.M.
Udgivet: (2022)

Clinical features & outcomes of hospitalized patients with Covid-19 in Dhaka: a single-centered cross-sectional descriptive study
af: Sakib, KM Rashidul Islam
Udgivet: (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
af: Khan, Tahsin Shahrin
Udgivet: (2021)

Covid-19: A transnational observation
af: Kabir, Nahid Afrose
Udgivet: (2020)

Stock price prediction
af: Das, Kaushik, et al.
Udgivet: (2023)

Economic crisis prediction due to pandemic outbreak using machine learning
af: Ahmed, Tanvir, et al.
Udgivet: (2021)

Correlating lockdowns, mortality rates and air pollution: a deep learning imbued study of COVID-19
af: Tabassum, Tahia, et al.
Udgivet: (2021)

Impact of COVID on the customer orientation of KORD (BD) Limited
af: Fahim, Mubtasim
Udgivet: (2021)

COVID-19 : the great reset /
af: Schwab, Klaus
Udgivet: (2020)

Oxidative stress induced thrombosis and Hypercholesterolemic condition in COVID-19 infection
af: Ahmed, Ashfaq
Udgivet: (2022)

COVID-19: The next steps for the World
af: Mridha, Malay Kanti
Udgivet: (2022)

COVID-19’s Impact on Bangladesh Economy
af: Siddiquee, Muhammad Shahadat Hossain, et al.
Udgivet: (2022)

COVID-19 vaccination: Willingness and practice in Bangladesh
af: Faruk, Avinno, et al.
Udgivet: (2024)

The accessibility of Covid-19 vaccine toward commercialization using microneedles
af: Isty, Fahim Istiak
Udgivet: (2021)

Implication of COVID 19 on IT industry: focusing automation solutionz
af: Karim, Rabita
Udgivet: (2021)

An overview on Covid-19 and invention of its treatment by drugs
af: Nawer, Anika
Udgivet: (2022)

An assessment of knowledge and uptake of COVID-19 vaccine among the school going students at Cox Bazar in Bangladesh
af: Das, Nikkon Ranjan
Udgivet: (2023)

Experiences of volunteers as change agents for prevention of COVID-19 in Cox’s Bazaar, Bangladesh: an exploratory qualitative study
af: Mariam, Warisha
Udgivet: (2023)

Socio-Economic Impact Assessment of COVID-19 and Policy Implications for Bangladesh
af: Rahman, Sultan Hafeez, et al.
Udgivet: (2022)

Covid 19 pandemic is a prominent Global Crisis: Review of the Literature
af: Zaman, Farzana, et al.
Udgivet: (2021)

A literature review on the efficacy of test kits for COVID-19
af: Sajid, Saiara Sajita
Udgivet: (2022)

Knowledge and practices regarding Covid-19 prevention among students of selected madrasas in Cox’s Bazar, Bangladesh
af: Blasius, Camilla Megusa
Udgivet: (2023)

Exploring the practice of alternative assessment during Covid-19 of Bangla Medium Secondary Level Teachers and students in Bangladesh
af: Noor, Samia
Udgivet: (2023)

Coping with Covid-19 in Bangladesh : Assessment of relief delivery /
Udgivet: (2021)

Comparing knowledge and practice of Covid-19 vaccination between general school (Grade 6 to 9) and madrasa-going students (Grade 6 to 9 equivalent) at Cox’s Bazar, Bangladesh
af: Neeher, Nishantika
Udgivet: (2023)

Bangladesh and Covid-19: Reversals and resilience
af: Rahman, Atiya, et al.
Udgivet: (2024)

COVID-19 is aggravating antimicrobial resistance
af: Rafiqullah, Iftekhar, et al.
Udgivet: (2020)

COVID-19 and employment related adjustments : Findings from household survey in Bangladesh /
af: Rahman, Mustafizur
Udgivet: (2021)

Impacts of self-medication among students during COVID-19: a comprehensive review
af: Mitra, Shovon
Udgivet: (2021)

Economic impact of Covid-19 on Shadow International
af: Mujjammil, Fattah E
Udgivet: (2022)

A comparative analysis of attention abilities in post-covid and non-covid patients using Ace-III scale
af: Anuva, Nayeema Jameel
Udgivet: (2024)

Post Covid-19 health indications of Covid-19 patients
af: Khan, Tanzim
Udgivet: (2022)

COVID-19 related fake news detection model
af: Shondhy, Sumaiya Islam, et al.
Udgivet: (2021)

The impact of COVID-19 pandemic on small and medium enterprises in Bangladesh
af: Islam, Asadul, et al.
Udgivet: (2022)

Simple ways to alleviate antibiotic resistance amidst Covid-19
af: Siddiqee, Mahbubul H., et al.
Udgivet: (2020)

Red Tomato Restaurant: struggles of restaurants in the Covid-19 era
af: Alam, Saif
Udgivet: (2021)

Situation changed Covid 19! - How to retain and engage generation Y employees
af: Rahman, Sanjida
Udgivet: (2023)

Transdermal material construction in covid 19 vaccine delivery: a microneedle approach
af: Chowdhury, Tasnia Farheen
Udgivet: (2021)