Analyzing and minimizing the effects of Vector-borne diseases using machine and deep learning techniques: A systematic review

I Kaur, AK Sandhu, Y Kumar - 2021 sixth international …, 2021 - ieeexplore.ieee.org
Among the numerous threats facing our world, Vector-borne illnesses pose the greatest
threat. Although arboviruses have a long history of infecting humans, they have recently …

The roles of machine learning methods in limiting the spread of deadly diseases: A systematic review

R Alfred, JH Obit - Heliyon, 2021 - cell.com
Abstract Machine learning (ML) methods can be leveraged to prevent the spread of deadly
infectious disease outbreak (eg, COVID-19). This can be done by applying machine learning …

Deep learning techniques for detection and prediction of pandemic diseases: a systematic literature review

SA Ajagbe, MO Adigun - Multimedia Tools and Applications, 2024 - Springer
Deep learning (DL) is becoming a fast-growing field in the medical domain and it helps in
the timely detection of any infectious disease (IDs) and is essential to the management of …

Vector borne disease outbreak prediction by machine learning

S Raizada, S Mala, A Shankar - 2020 International conference …, 2020 - ieeexplore.ieee.org
Vector Borne Disease is a form of illness which is caused by parasites, viruses and bacteria.
The infection is transferred through blood-feeding arthropods such as mosquitoes, fleas ticks …

Machine learning in handling disease outbreaks: a comprehensive review

D Riswantini, E Nugraheni - Bulletin of Electrical Engineering and …, 2022 - beei.org
The changes in the global environment have made impact on the evolution of infectious
diseases, virus mutations, or new diseases which are challenging to be tackled with new …

Using network analysis and machine learning to identify virus spread trends in COVID-19

CAR Pinheiro, M Galati, N Summerville, M Lambrecht - Big Data Research, 2021 - Elsevier
Abstract The outbreak of Coronavirus Disease 2019 (COVID-19) has infected and killed
millions of people globally, resulting in a pandemic with enormous global impact. This …

A comprehensive analysis of deep learning-based approaches for prediction and prognosis of infectious diseases

K Thakur, M Kaur, Y Kumar - Archives of Computational Methods in …, 2023 - Springer
Artificial intelligence is the most powerful and promising tool for the present analytic
technologies. It can provide real-time insights into disease spread and predict new …

Deploying machine and deep learning models for efficient data-augmented detection of COVID-19 infections

A Sedik, AM Iliyasu, B Abd El-Rahiem… - Viruses, 2020 - mdpi.com
This generation faces existential threats because of the global assault of the novel Corona
virus 2019 (ie, COVID-19). With more than thirteen million infected and nearly 600000 …

Comparative analysis of epidemic alert system using machine learning for dengue and chikungunya

A Dhaka, P Singh - … on Cloud Computing, Data Science & …, 2020 - ieeexplore.ieee.org
The Rapid spread of a disease is known as an epidemic. The catastrophe brought by an
epidemic not only effects the people of an area, but also brings about a lot of distress in …

A yolo-based approach for Aedes aegypti larvae classification and detection

AM Hubalde, DA Padilla… - 2021 6th International …, 2021 - ieeexplore.ieee.org
Mosquitoes are small, flying insects that can be found almost anywhere in the world.
Although most of these creatures are just considered a nuisance, a few of its species can be …