Influenza Flu Diagnostics and Detection using Artificial Intelligence-based Learning Approaches: Challenges and Recent Study
Yogesh Kumar, G. Prabu Kanna, S J K Jagadeesh Kumar, G. Sambasivam · 2023
Influenza is a life-threatening disease mainly for an older population. Common causes of death in Influenza related complications are pneumonia, obstructive pulmonary disease, cardiorespiratory diseases, ischemic heart, and pneumonia. In the past few decades, the death count has increased due to Influenza. So, in this paper, we have tried to give brief detail about various types of Influenza viruses forwarded with different methods that can be used for detecting them. Along with this, a literature survey of varying work done in the field of detecting Influenza using Machine learning, Deep learning, and Artificial intelligence is covered. In other section of the paper, we have given comparative study of the same work done in section 3 that helps researchers in getting brief knowledge about available datasets, Artificial intelligence algorithms is used with their outcomes and limitations. The motive of overall study is giving brief knowledge about Influenza flu and role of Artificial intelligence in it.