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.

Bibliografiset tiedot
Päätekijät:	Sajid, Abul Kasem, Kabir, Fahim, Rahman, Hasibur, Kundu, Indronil, Zaman, Sheersho
Muut tekijät:	Hossain, Muhammad Iqbal
Aineistotyyppi:	Opinnäyte
Kieli:	English
Julkaistu:	Brac University 2021
Aiheet:	Symptoms Machine Learning COVID-19 Prediction ICU Emergency Random Forrest KNN COVID-19 (Disease)
Linkit:	http://hdl.handle.net/10361/15433

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COVID-19 : the great reset /
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Oxidative stress induced thrombosis and Hypercholesterolemic condition in COVID-19 infection
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COVID-19’s Impact on Bangladesh Economy
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The accessibility of Covid-19 vaccine toward commercialization using microneedles
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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
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COVID-19 and employment related adjustments : Findings from household survey in Bangladesh /
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Impacts of self-medication among students during COVID-19: a comprehensive review
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Economic impact of Covid-19 on Shadow International
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A comparative analysis of attention abilities in post-covid and non-covid patients using Ace-III scale
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Post Covid-19 health indications of Covid-19 patients
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COVID-19 related fake news detection model
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The impact of COVID-19 pandemic on small and medium enterprises in Bangladesh
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Simple ways to alleviate antibiotic resistance amidst Covid-19
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Red Tomato Restaurant: struggles of restaurants in the Covid-19 era
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Situation changed Covid 19! - How to retain and engage generation Y employees
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Transdermal material construction in covid 19 vaccine delivery: a microneedle approach
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