Browsing Project Report by Subject "Epidemiology"

Now showing items 1-3 of 3

Dengue fever anticipation: insights from advanced ml and deep learning models

Siam, A. K. M Fazlul Kobir (Daffodil International University, 2024-01-25)

Recently, there has been a significant increase in the prevalence of physical illnesses, including dengue disease, drawing considerable attention due to its impact on a large population. The severity of the illness can ...
Dengue fever prediction using machine learning techniques

Mozumder, Md: Kamrul Hasan (Daffodil International University, 2024-01-25)

The rapid and broad spread of the virus that causes dengue is a hallmark of the dengue, a global epidemic, a worldwide health problem. Using data from Kaggle, this project is about predicting Dengue Fever through machine ...
Machine learning based prediction of dengue risk zones in Bangladesh based on weather data

Ahmed, K. M Riyad (Daffodil International University, 2024-01-22)

This work proposes a unique method for identifying dengue risk zones in Bangladesh using machine learning algorithms and large weather data. Dengue fever, a mosquito-borne illness that is common in tropical areas, has a ...

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