A Survey related to Human Metapneumovirus (HMPV) prediction and analysis using machine learning approaches

Human Metaoneumovirus (HMPV) is a significant cause of respiratory tract infections globally especially in young children, the elderly and weakened immune individuals.With recent advancements in machine learning (ML) prediction models and diagnostic systems have become vital tools in early detection, risk assessment, vaccine development and public health surveillance.This paper presents a structured literature review of 20 selected studies applying machine learning for the detection, classification, sentiment analysis, treatment and vaccine development for HMPV.The review includes a comparative analysis of datasets, models and accuracy, future recommendations highlighting current gaps and suggesting directions for future research.