Foodborne disease symptoms, diagnostics, and predictions using artificial intelligence-based learning approaches: a systematic review

Y Kumar, I Kaur, S Mishra - Archives of Computational Methods in …, 2024 - Springer
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 …

Artificial intelligence techniques to predict the infectious diseases: Open challenges and research issues

K Thakur, M Kaur, Y Kumar - 2022 2nd International …, 2022 - ieeexplore.ieee.org
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 …

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 …

A hybrid deep transfer learning approach for the detection of vector-borne diseases

I Kaur, AK Sandhu, Y Kumar - 2022 5th international …, 2022 - ieeexplore.ieee.org
Vector-borne diseases considerably impact the worldwide population's health and economic
well-being. However, training deep-learning models requires significant time and training …

Artificial Intelligence approaches for Predicting Hypertension Diseases: Open Challenges and Research Issues

S Kaur, K Bansal, Y Kumar - 2022 5th International Conference …, 2022 - ieeexplore.ieee.org
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 …

[HTML][HTML] Towards accurate spatial prediction of Glossina pallidipes relative densities at country-scale in Kenya

S Gachoki, TA Groen, A Vrieling, A Skidmore… - Ecological …, 2024 - Elsevier
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 …

[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 …

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 …

Machine Learning-Based Diagnosis and Detection of Liver Cancer: An Approach Enhancement

Y Kumar, P Kaur, J Rani - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
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 …

Predictive modeling of epidemic diseases based on vector-borne diseases using artificial intelligence techniques

I Kaur, Y Kumar, AK Sandhu… - … intelligence in medical …, 2023 - taylorfrancis.com
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 …