Artificial intelligence in pharmaceutical and healthcare research
SK Bhattamisra, P Banerjee, P Gupta… - Big Data and Cognitive …, 2023 - mdpi.com
Artificial intelligence (AI) is a branch of computer science that allows machines to work
efficiently, can analyze complex data. The research focused on AI has increased …
efficiently, can analyze complex data. The research focused on AI has increased …
[Retracted] Empirical Method for Thyroid Disease Classification Using a Machine Learning Approach
There are many thyroid diseases affecting people all over the world. Many diseases affect
the thyroid gland, like hypothyroidism, hyperthyroidism, and thyroid cancer. Thyroid …
the thyroid gland, like hypothyroidism, hyperthyroidism, and thyroid cancer. Thyroid …
[PDF][PDF] Supervised machine learning-based prediction of COVID-19
COVID-19 turned out to be an infectious and life-threatening viral disease, and its swift and
overwhelming spread has become one of the greatest challenges for the world. As yet, no …
overwhelming spread has become one of the greatest challenges for the world. As yet, no …
[PDF][PDF] Prediction of cloud ranking in a hyperconverged cloud ecosystem using machine learning
Cloud computing is becoming popular technology due to its functional properties and variety
of customer-oriented services over the Internet. The design of reliable and high-quality cloud …
of customer-oriented services over the Internet. The design of reliable and high-quality cloud …
[HTML][HTML] Modern technologies and solutions to enhance surveillance and response systems for emerging zoonotic diseases
L Zhang, W Guo, C Lv - Science in One Health, 2024 - Elsevier
Background Zoonotic diseases originating in animals pose a significant threat to global
public health. Recent outbreaks, such as coronavirus disease 2019 (COVID-19), have …
public health. Recent outbreaks, such as coronavirus disease 2019 (COVID-19), have …
Classification of COVID‐19 and influenza patients using deep learning
Coronavirus (COVID‐19) is a deadly virus that initially starts with flu‐like symptoms. COVID‐
19 emerged in China and quickly spread around the globe, resulting in the coronavirus …
19 emerged in China and quickly spread around the globe, resulting in the coronavirus …
Artificial Intelligence for Infectious Disease Detection: Prospects and Challenges
Abstract The emergence of Artificial Intelligence (AI) as a transformative force in healthcare
has sparked a growing interest in its application to infectious disease detection. The study …
has sparked a growing interest in its application to infectious disease detection. The study …
Ensemble learning-based early detection of influenza disease
Across the world, the seasonal disease influenza is a respiratory illness that impacts all age
groups in many ways. Its symptoms are fever, chills, aches, pains, headaches, fatigue …
groups in many ways. Its symptoms are fever, chills, aches, pains, headaches, fatigue …
[Retracted] Training a Feedforward Neural Network Using Hybrid Gravitational Search Algorithm with Dynamic Multiswarm Particle Swarm Optimization
One of the most well‐known methods for solving real‐world and complex optimization
problems is the gravitational search algorithm (GSA). The gravitational search technique …
problems is the gravitational search algorithm (GSA). The gravitational search technique …
[PDF][PDF] Detection of COVID-19 Enhanced by a Deep Extreme Learning Machine.
The outbreak of coronavirus disease 2019 (COVID-19) has had a tremendous effect on daily
life and a great impact on the economy of the world. More than 200 countries have been …
life and a great impact on the economy of the world. More than 200 countries have been …