Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi

Yazarlar: Doğan KÜÇÜK, Nursal ARICI, Emine Ela KÜÇÜK

Konular:Bilgisayar Bilimleri, Bilgi Sistemleri

DOI:10.28948/ngumuh.778948

Anahtar Kelimeler:Public health monitoring,Health informatics,Social media analysis,Machine learning,Deep learning

Özet: Automatic detection and monitoring of public health events and phenomena, like common diseases and epidemics, is an important research problem. Today, public health monitoring can be performed automatically on social media and health-related trends and perceptions of the society can be determined by analyzing social media texts. Related studies performed on these topics are increasing. In this study, a recent survey of the studies that detect public health related content on social media and that perform public health monitoring, is presented. Related studies can target at any public health related topics including epidemics, diseases, medical advances, vaccines, and complementary/alternative medicine. In our survey, those studies on automatic public health monitoring on social media are presented after they are categorized by their sub-topics, related digital resources are listed, and additionally, future research topics are included. It is expected that our survey will serve as an important theoretical and application-oriented resource for related researchers and experts.

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