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.

Bibliografiske detaljer
Main Authors:	Sayeed, Sanjana, Rashid, Iktisad, Sotej, Muktadir Rabbi
Andre forfattere:	Ajwad, Rasif
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2021
Fag:	Dengue DSS DHF Supervised Unsupervised Hierarchical clustering Xg-boosting Clinical data Machine Learning
Online adgang:	http://hdl.handle.net/10361/15734

Lignende værker

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

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

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

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

Clinical evaluation of dengue and identification of risk factors for severe disease: protocol for a multicentre study in 8 countries
af: Jaenisch, Thomas, et al.
Udgivet: (2018)

Identifying the best metrics to find the best quality clusters of genes from gene expression data
af: Choudhury, Joydhriti, et al.
Udgivet: (2019)

Distinguish and management of the deadly co-infection caused by dengue virus and coronavirus in Bangladesh
af: Johora, Fatema-Tuz
Udgivet: (2024)

Global strategies for combating dengue Virus: a review on the control methods
af: Montasir, Fahim
Udgivet: (2024)

Demystifying machine learning models for IOT attack detection with explainable AI
af: Muna, Rabeya Khatun, et al.
Udgivet: (2021)

Drug utilization study in dengue infection in a tertiary care hospital in Bangladesh
af: Kundu, Sudipto
Udgivet: (2023)

A review on the surveillance methods of the aedes aegypti mosquito for the prevention of dengue
af: Hossain, Md.Murad
Udgivet: (2024)

A Study of gainful employment of learners receiving skills training in the informal sector using Machine Learning
af: Raizan, Syed Ahsan, et al.
Udgivet: (2021)

Prediction and detection in change of cognitive load for VIP’s by a machine learning approach
af: Rahman, Fahim, et al.
Udgivet: (2021)

Diseases to spread rapidly on insects: experts point at climate change
af: Palma, Porimol
Udgivet: (2016)

Developing a novel multi-epitope vaccine against Dengue virus targeting the Envelope protein using an Immunoinformatics approach
af: NASIFUZZAMAN, S M
Udgivet: (2021)

Role of statins as antagonists of 1DHF in cancer
af: Mustafa, Nashrah
Udgivet: (2018)

The economics of clusters

A new approach for processing X-ray data for detecting mini-halos in galaxy clusters
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Udgivet: (2021)

3G and 4G paging success rate based mobile network anomaly detection using supervised and unsupervised learning
af: Ahasan, Md Rakibul
Udgivet: (2022)

Anomaly clustering based on correspondence analysis
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Udgivet: (2018)

Finding habitable exo planets using boosting algorithm
af: Rahman, Md. Mashfiq, et al.
Udgivet: (2020)

Speech emotion detection using supervised, unsupervised and feature selection algorithms
af: Rifat, Abu Nuraiya Mahfuza Yesmin, et al.
Udgivet: (2019)

Extractive text summarization using Fuzzy-c-means clustering
af: Gani, Shafiul
Udgivet: (2019)

Prediction of bipolar disorder from mental episodes using machine learning approach
af: Tasmeem, Sumaiya, et al.
Udgivet: (2023)

Education content provider based on particular weaknesses of students: a unsupervised machine learning appro
af: Rahman, Shabab Intishar, et al.
Udgivet: (2024)

A new tool to measure approaches to supervision from the perspective of community health workers: A prospective, longitudinal, validation study in seven countries
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Udgivet: (2022)

Qualitative classification of the breast cancer genome and clustering of the cancer gene network
af: Fatema, Kaniz, et al.
Udgivet: (2019)

Supervision in thought and action /
af: Lucio, William H.
Udgivet: (1979)

Why employees don't do what they're supposed to do and what to do about it /
af: Fournies, Ferdinand F.
Udgivet: (1988)

Early detection of chronic kidney disease using machine learning
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Udgivet: (2019)

Federated ensemble-learning for transport mode detection in vehicular edge network
af: Alam, MD. Mustakin, et al.
Udgivet: (2023)

Prediction on large scale data using extreme gradient boosting
af: Sawon, Md.Tariq Hasan, et al.
Udgivet: (2016)

Integration of data clustering to intelligent email classifier
af: Zisan, Shahriar Ahmed
Udgivet: (2019)

Detecting online recruitment fraud by using machine learning
af: Ghosh, Gitanjali, et al.
Udgivet: (2021)

Excellence in supervision : essential skills for the new supervisor /
af: Conlow, Rick
Udgivet: (2004)

তত্ত্বাবধান ও তত্ত্বাবধায়ক /
af: খান, মিসবাহউদ্দিন

Why employees don't do what they're supposed to do and what to do about it /
af: Fournies, Ferdinand F.
Udgivet: (1988)

Clustering web pages based on doc type structure in a distributed manner
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Power, Powerlessness and Addiction
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Udgivet: (2013)

The Origins of Health and Disease
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Udgivet: (2012)