Foodborne disease symptoms, diagnostics, and predictions using artificial intelligence-based learning approaches: a systematic review
Food-borne diseases have a high worldwide occurrence, substantially impacting public
health and the social economy. Most food-borne diseases are contagious or poisonous and …
health and the social economy. Most food-borne diseases are contagious or poisonous and …
Artificial intelligence techniques to predict the infectious diseases: Open challenges and research issues
Infectious diseases are still the most significant cause of death and disease across the
globe. Encounter a pathogen causes infectious diseases. Bacteria, viruses, fungi, protozoa …
globe. Encounter a pathogen causes infectious diseases. Bacteria, viruses, fungi, protozoa …
Multi-class classification of vector borne diseases using convolution neural network
DD Pandya, SK Patel, AH Qureshi… - … on Applied Artificial …, 2023 - ieeexplore.ieee.org
The worldwide burden of illness and death caused by vector-borne pathogens is substantial.
The capacity to properly categorize these illnesses is crucial for the development of efficient …
The capacity to properly categorize these illnesses is crucial for the development of efficient …
A hybrid deep transfer learning approach for the detection of vector-borne diseases
Vector-borne diseases considerably impact the worldwide population's health and economic
well-being. However, training deep-learning models requires significant time and training …
well-being. However, training deep-learning models requires significant time and training …
Artificial Intelligence approaches for Predicting Hypertension Diseases: Open Challenges and Research Issues
Despite improved therapies and decades of research over the last century, hypertension
remained the world's leading avoidable cause of death. Machine learning (ML) is a subfield …
remained the world's leading avoidable cause of death. Machine learning (ML) is a subfield …
[HTML][HTML] Towards accurate spatial prediction of Glossina pallidipes relative densities at country-scale in Kenya
Vector-borne diseases, like those transmitted by tsetse flies, pose a significant global public
health threat. Reducing vector populations is a promising strategy for disease control …
health threat. Reducing vector populations is a promising strategy for disease control …
[PDF][PDF] Machine learning approaches for dengue prediction: A review of algorithms and applications
Z Hussain, IA KHAN, M HASSAN - Pak. Geogr. Rev., 2023 - pu.edu.pk
Dengue disease positions a significant global public health challenge, warranting attention
from local health authorities and the international community. The escalating number of …
from local health authorities and the international community. The escalating number of …
Deep learning in neglected vector-borne diseases: a systematic review
A Mishra, A Pandey, R Malhotra - International Journal of System …, 2024 - Springer
This study explores the application of Deep Learning in combating neglected vector-borne
Diseases, a significant global health concern, particularly in resource-limited areas. It …
Diseases, a significant global health concern, particularly in resource-limited areas. It …
Machine Learning-Based Diagnosis and Detection of Liver Cancer: An Approach Enhancement
One of the most important organs in our body is the liver, yet liver cancer incidence has been
sharply rising in recent years, primarily as a result of poor lifestyles. In order to accurately …
sharply rising in recent years, primarily as a result of poor lifestyles. In order to accurately …
Predictive modeling of epidemic diseases based on vector-borne diseases using artificial intelligence techniques
Infectious illnesses have a massive effect on the worldwide population's health and the
economy. Vector-borne diseases are the primary cause of morbidity and death. This illness …
economy. Vector-borne diseases are the primary cause of morbidity and death. This illness …