Sosyal medyada otomatik halk sağlığı takibi: Güncel bir derleme

Yıl 2021, Cilt: 10 Sayı: 2, 439 - 449, 27.07.2021

Doğan Küçük , Nursal Arıcı , Emine Ela Küçük

https://doi.org/10.28948/ngumuh.778948

Öz

Yaygın hastalıklar ve salgınlar gibi halk sağlığını durumlarının otomatik olarak belirlenerek takip edilmesi, güncel ve önemli bir araştırma problemidir. Günümüzde, sosyal medya metinleri analiz edilerek halk sağlığı takibi yapılabilmekte, toplumun sağlıkla ilgili eğilimleri ve algıları belirlenebilmektedir. Literatürde bu konularda gerçekleştirilmiş çalışmaların sayısı da hızla artış göstermektedir. Bu çalışmamızda, sosyal medya üzerinde halk sağlığı ile ilgili içerikleri tespit eden ve halk sağlığı takibi yapan çalışmaların güncel bir derlemesi sunulmaktadır. Söz konusu çalışmalar; salgınlar, hastalıklar, tıbbi gelişmeler, aşılar ve tamamlayıcı/alternatif tıp gibi halk sağlığı ile ilgili tüm konuları hedef alabilmektedir. Derlememizde, sosyal medyada otomatik halk sağlığı takibi konusundaki güncel çalışmalar alt konularına göre sınıflandırılarak sunulmuş olup, ilgili dijital kaynakları listelenmiş ve ayrıca ileri çalışma konularına yer verilmiştir. Derlememizin, sağlık bilişimi konusunda hem teorik hem de uygulamaya yönelik önemli bir kaynak olarak ilgili araştırmacı ve uzmanlara hizmet etmesi beklenmektedir.

Anahtar Kelimeler

sağlık bilişimi, sosyal medya analizi, makine öğrenmesi, derin öğrenme, halk sağlığı takibi

Automatic public health monitoring on social media: A recent survey

Öz

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.

Anahtar Kelimeler

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

Kaynakça

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