Artificial intelligence techniques for predictive modeling of vector-borne diseases and its pathogens: a systematic review
Vector-borne diseases (VBDs) have a significant impact on human and animal health. VBD
has been emerging or re-emerging in a variety of geographic regions, raising alarming new …
has been emerging or re-emerging in a variety of geographic regions, raising alarming new …
[HTML][HTML] Role of artificial intelligence-internet of things (AI-IoT) based emerging technologies in the public health response to infectious diseases in Bangladesh
Digital technologies are the need of today to predict, prevent and control emerging infectious
diseases. Bangladesh is one of the world's poorest and most densely populated countries …
diseases. Bangladesh is one of the world's poorest and most densely populated countries …
Machine learning and dengue forecasting: Comparing random forests and artificial neural networks for predicting dengue burden at national and sub-national scales …
N Zhao, K Charland, M Carabali… - PLoS neglected …, 2020 - journals.plos.org
The robust estimate and forecast capability of random forests (RF) has been widely
recognized, however this ensemble machine learning method has not been widely used in …
recognized, however this ensemble machine learning method has not been widely used in …
Weather integrated multiple machine learning models for prediction of dengue prevalence in India
SG Kakarla, PK Kondeti, HP Vavilala… - International Journal of …, 2023 - Springer
Dengue is a rapidly spreading viral disease transmitted to humans by Aedes mosquitoes.
Due to global urbanization and climate change, the number of dengue cases are gradually …
Due to global urbanization and climate change, the number of dengue cases are gradually …
A medical Chatbot using machine learning and natural language understanding
IC Hsu, JD Yu - Multimedia Tools and Applications, 2022 - Springer
For people with busy schedules, travelling to and from a hospital for treatment is
considerably time consuming, which leads them to ignore their health problems. People …
considerably time consuming, which leads them to ignore their health problems. People …
Analyzing and minimizing the effects of Vector-borne diseases using machine and deep learning techniques: A systematic review
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 …
threat. Although arboviruses have a long history of infecting humans, they have recently …
Viral informatics: bioinformatics-based solution for managing viral infections
Several new viral infections have emerged in the human population and establishing as
global pandemics. With advancements in translation research, the scientific community has …
global pandemics. With advancements in translation research, the scientific community has …
Machine learning and deep learning techniques to support clinical diagnosis of arboviral diseases: A systematic review
SR da Silva Neto, T Tabosa Oliveira… - PLoS neglected …, 2022 - journals.plos.org
Background Neglected tropical diseases (NTDs) primarily affect the poorest populations,
often living in remote, rural areas, urban slums or conflict zones. Arboviruses are a …
often living in remote, rural areas, urban slums or conflict zones. Arboviruses are a …
A comparative study of machine learning techniques for multi-class classification of arboviral diseases
T Tabosa de Oliveira, SR da Silva Neto… - Frontiers in Tropical …, 2022 - frontiersin.org
Among the neglected tropical diseases (NTDs), arboviral diseases present a significant
number of cases worldwide. Their correct classification is a complex process due to the …
number of cases worldwide. Their correct classification is a complex process due to the …
Selective electrochemical detection of SARS-CoV-2 using deep learning
COVID-19 has been in the headlines for the past two years. Diagnosing this infection with
minimal false rates is still an issue even with the advent of multiple rapid antigen tests …
minimal false rates is still an issue even with the advent of multiple rapid antigen tests …