Primary care has the potential to be transformed by artificial intelligence (AI) and, in
particular, machine learning (ML). This review summarizes the potential of ML and its …

This research aims to predict dengue fever cases in Malaysia using machine learning
techniques. A dataset consisting of weekly dengue cases at the state level in Malaysia from …

We propose a comprehensive framework to explore propagation of passenger crowdedness
in public transportation systems using 74.16 million trip chains. A deep learning method …

The purpose is to illustrate how artificial intelligence (AI) technologies have been used for
detection and analysis of COVID-19 and other infectious diseases such as breast, lung, and …

Evolution remains an incessant process in viruses, allowing them to elude the host immune
response and induce severe diseases, impacting the diagnostic and vaccine effectiveness …

Background Seasonal influenza and other respiratory tract infections are serious public
health problems that need to be further addressed and investigated. Internet search data are …

For companies to retain customers and ensure effective management-level resolution, they
need to anticipate customer churn and determine the root cause of complaints. To achieve …

This study employs machine learning and natural language processing (NLP) in the field of
disease detection and management while focusing on Thai language texts. We have …

The influenza virus can spread easily, causing significant public health concern. Despite the
existence of different techniques for rapid detection and prevention of influenza, their …

The identification of health-related issues without invasive testing constitutes a pivotal facet
of medical research and technological advancement. This paper attempts to establish a very …