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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 …
Making AI explainable in the Global South: A systematic review
Artificial intelligence (AI) and machine learning (ML) are quickly becoming pervasive in ways
that impact the lives of all humans across the globe. In an effort to make otherwise” black …
that impact the lives of all humans across the globe. In an effort to make otherwise” black …
Machine learning-based detection of dengue from blood smear images utilizing platelet and lymphocyte characteristics
Dengue fever, also known as break-bone fever, can be life-threatening. Caused by DENV,
an RNA virus from the Flaviviridae family, dengue is currently a globally important public …
an RNA virus from the Flaviviridae family, dengue is currently a globally important public …
Machine learning for the develo** world
Researchers from across the social and computer sciences are increasingly using machine
learning to study and address global development challenges. This article examines the …
learning to study and address global development challenges. This article examines the …
Intelligent algorithm for detection of dengue using mobilenetv2‐based deep features with lymphocyte nucleus
Dengue is a vector‐borne disease that is highly endemic in countries located in tropical
regions. It can cause severe complications and can even lead to death in the case of …
regions. It can cause severe complications and can even lead to death in the case of …
[PDF][PDF] A Multi-Class Classification of Dengue Infection Cases with Feature Selection in Imbalanced Clinical Diagnosis Data.
Dengue infection is a dangerous infectious disease that threatens human health at every
age and can be deadly. The imbalance of the dengue infection disease dataset will interfere …
age and can be deadly. The imbalance of the dengue infection disease dataset will interfere …
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 …
fleas, pose an escalating challenge to global public health. Dengue, a disease propagated …
A review of modeling methods for predicting in-hospital mortality of patients in intensive care unit
Severity scoring models, which can be used to predict the probability of death for patients in
intensive care units (ICUs) have been developed for nearly 30 years and are clearly the …
intensive care units (ICUs) have been developed for nearly 30 years and are clearly the …
[PDF][PDF] Classification of dengue using machine learning techniques
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 …
which spread through the chomp of contaminated Aedes mosquitoes. Around 2.5 billion …
[HTML][HTML] From Data to Diagnosis: Machine Learning Revolutionizes Epidemiological Predictions
The outbreak of epidemiological diseases creates a major impact on humanity as well as on
the world's economy. The consequence of such infectious diseases affects the survival of …
the world's economy. The consequence of such infectious diseases affects the survival of …