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.

Xehetasun bibliografikoak
Egile Nagusiak:	Sayeed, Sanjana, Rashid, Iktisad, Sotej, Muktadir Rabbi
Beste egile batzuk:	Ajwad, Rasif
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2021
Gaiak:	Dengue DSS DHF Supervised Unsupervised Hierarchical clustering Xg-boosting Clinical data Machine Learning
Sarrera elektronikoa:	http://hdl.handle.net/10361/15734

Antzeko izenburuak

Seroprevalence and clinical characteristics investigation of Dengue virus infection in rural Bangladesh during 2019 Dengue outbreak
nork: Rashed, Afsana
Argitaratua: (2021)

Frequent dengue outbreaks in South Asian countries: analysis of associated risk factors and possible preventive measures
nork: Islam, Mohibul
Argitaratua: (2024)

An overview on the prevalence and diagnosis of dengue
nork: Ashik-Uz- Zaman
Argitaratua: (2018)

Detection of circulating dengue virus serotypes of 2021 dengue outbreak in Dhaka, Bangladesh
nork: Rahmat, Raad
Argitaratua: (2023)

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Identifying the best metrics to find the best quality clusters of genes from gene expression data
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Argitaratua: (2019)

Distinguish and management of the deadly co-infection caused by dengue virus and coronavirus in Bangladesh
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Argitaratua: (2024)

Global strategies for combating dengue Virus: a review on the control methods
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Argitaratua: (2024)

Demystifying machine learning models for IOT attack detection with explainable AI
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Argitaratua: (2021)

Drug utilization study in dengue infection in a tertiary care hospital in Bangladesh
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A Study of gainful employment of learners receiving skills training in the informal sector using Machine Learning
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Diseases to spread rapidly on insects: experts point at climate change
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Developing a novel multi-epitope vaccine against Dengue virus targeting the Envelope protein using an Immunoinformatics approach
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Role of statins as antagonists of 1DHF in cancer
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Education content provider based on particular weaknesses of students: a unsupervised machine learning appro
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Argitaratua: (2023)

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Integration of data clustering to intelligent email classifier
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Detecting online recruitment fraud by using machine learning
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তত্ত্বাবধান ও তত্ত্বাবধায়ক /
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