Concurrent advances in information technology infrastructure and mobile computing power
in many low and middle-income countries (LMICs) have raised hopes that artificial …

The aim of the study is to show whether it is possible to predict infectious disease outbreaks
early, by using machine learning. This study was carried out following the guidelines of the …

Infectious disease occurs when a person is infected by a pathogen from another person or
an animal. It is a problem that causes harm at both individual and macro scales. The Korea …

Background: Artificial intelligence (AI), which combines computer science with extensive
datasets, seeks to mimic human-like intelligence. Subsets of AI are being applied in almost …

Background In the prevention and control of infectious diseases, previous research on the
application of big data technology has mainly focused on the early warning and early …

The main objective of this exploratory study is to identify the social, economic, environmental
and cultural factors related to the sustainable care of both environment and public health …

The remarkable upsurge of social media has dramatic impacts on health care research and
practice. Social media are resha** health information management in a variety of ways …

The increase in stroke incidence with the aging of the Korean population will rapidly impose
an economic burden on society. Timely treatment can improve stroke prognosis. Awareness …

The objective of this paper is to present a bibliometric analysis of the applications of Data
Mining (DM) and Machine Learning (ML) techniques in the context of public health from …

Uncovering the structure of socioeconomic systems and timely estimation of socioeconomic
status are significant for economic development. The understanding of socioeconomic …