Early diagnosis for dengue disease prediction using efficient machine learning techniques based on clinical data

B Abdualgalil, S Abraham… - Journal of Robotics and …, 2022 - journal.umy.ac.id
Yemen. Although early detection is critical to reducing dengue disease deaths, accurate
dengue diagnosis requires a long time due to the numerous clinical examinations. Thus, this …

The diagnosis of dengue disease: An evaluation of three machine learning approaches

S Gambhir, SK Malik, Y Kumar - International Journal of Healthcare …, 2018 - igi-global.com
This article describes how Dengue fever is a fatal and hazardous disease resulting from the
bite of several species of the female mosquito (principally, Aedesaegypti). Symptoms of the …

[PDF][PDF] Classification of dengue using machine learning techniques

T Sajana, M Navya, Y Gayathri, N Reshma - Int J Eng Technol, 2018 - scholar.archive.org
Dengue infection belongs to the family of virus, Flaviviridae, consisting of four serotypes
which spread through the chomp of contaminated Aedes mosquitoes. Around 2.5 billion …

Machine learning for dengue outbreak prediction: A performance evaluation of different prominent classifiers

N Iqbal, M Islam - Informatica, 2019 - informatica.si
Dengue disease patients are increasing rapidly and actually dengue has recorded in every
continent today according to World Health Organisation (WHO) record. By WHO report the …

Development and Evaluation of a Predictive Diagnostic System for Dengue Fever using Machine Learning Techniques

JR Khan, SK Raza - 2023 - researchsquare.com
As the world continues to evolve scientifically and climatically, the medical and healthcare
sectors face new challenges in the form of newly identified diseases, insects, chemicals, and …

Early diagnostics model for dengue disease using decision tree-based approaches

S Gambhir, Y Kumar, S Malik, G Yadav… - Pre-Screening Systems …, 2019 - igi-global.com
Classification schemes have been applied in the medical arena to explore patients' data and
extract a predictive model. This model helps doctors to improve their prognosis, diagnosis …

[PDF][PDF] Data-driven neural network model for early self-diagnosis of dengue symptoms

AM Ariffin, NM Aris - J Theoret Appl Inform Technol, 2020 - researchgate.net
Dengue fever is one of the main public health concerns and endemic diseases in many
countries, especially in tropical and subtropical regions. In severe cases, people infected …

Exploring Machine Learning Algorithms for the Prediction of Dengue: A Comprehensive Review.

A Thirugnanam… - Revue d'Intelligence …, 2023 - search.ebscohost.com
Vector-borne diseases, transmitted by blood-feeding arthropods like mosquitoes, ticks, and
fleas, pose an escalating challenge to global public health. Dengue, a disease propagated …

Detection of Dengue Disease Empowered with Fused Machine Learning

MR Al Nasar, I Nasir, T Mohamed… - … on Cyber Resilience …, 2022 - ieeexplore.ieee.org
Dengue fever is a life-threatening illness that affects both industrialized and poor nations,
including Pakistan. It is necessary to forecast the illness at an early stage to avoid it …

[PDF][PDF] Weight based-artificial neural network (W-ANN) for predicting dengue using machine learning approach with Indian perspective

R Kapoor, V Kadyan, S Ahuja - Int J Sci Technol Res, 2020 - academia.edu
Dengue is a rising vector borne disease in India. It becomes a burden for whole community
residing in India. Unfortunately, still there is no vaccine discovered. Prevention and control of …