Araştırma Makalesi

Sağlık Hizmetlerinde Nesnelerin İnterneti Uygulamalarının Bibliyometrik Analizi

Sayı: 27 30 Kasım 2021
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Bibliometric Analysis of Internet of Things Applications in Healthcare Services

Abstract

This study aims to examine the research trends of scientific publications dealing with Internet of Things (IoT) applications in healthcare. In this context, a bibliometric analysis of English articles in the Web of Science database between 2001-2019 was performed using the R programming language. In the bibliometric analysis, Biblioshiny (web interface of R program) was used. Publications were categorized their types and trends over the years were examined, it has been evaluated according to their countries', institutions' and authors'. Findings were discussed in the light of the most cited studies. This study is an important resource to present current issues of IoT applications in healthcare and to examine research trends.

Keywords

Kaynakça

  1. Abawajy, J. H., & Hassan, M. M. (2017). Federated Internet of Things and cloud computing pervasive patient health monitoring system. IEEE Communications Magazine, 55(1), 48–53.
  2. Akhbarifar, S., Javadi, H. H. S., Rahmani, A. M., & Hosseinzadeh, M. (2020). A secure remote health monitoring model for early disease diagnosis in cloud-based IoT environment. Personal and Ubiquitous Computing, 1–17. https://doi.org/10.1007/s00779-020-01475-3.
  3. Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015). Internet of Things: A survey on enabling technologies, protocols and applications. IEEE Communications Surveys And Tutorials, 17(4), 2347–2376.
  4. Albahri, A. ., Zaidan, B. ., Zaidan, A. ., Albahri, O. ., Alsalem, M. ., Mohsin, A. ., … Baqer, M. . (2019). Fault-tolerant mHealth framework in the context of IoT based real-time wearable health data sensor. IEEE Access, 7, 50052–50080. https://doi.org/10.1109/ACCESS.2019.2910411.
  5. Alhasan, A., Audah, L., Ibrahim, I., Al-Sharaa, A., Al-Ogaili, A. S., & Mohammed, J. M. (2020). A case-study to examine doctors’ intentions to use IoT healthcare devices in Iraq during COVID-19 pandemic. International Journal of Pervasive Computing and Communications. https://doi.org/https://doi.org/10.1108/IJPCC-10-2020-0175.
  6. Alhussein, M., Muhammad, G., Hossain, M. S., & Amin, S. U. (2018). Cognitive IoT-Cloud integration for smart healthcare: Case study for epileptic seizure detection and monitoring. Mobile Networks and Applications volume, 23, 1624–1635.
  7. Amendola, S., Lodato, R., Manzari, S., Occhiuzzi, C., & Marrocco, G. (2014). RFID technology for IOT-based personel healthcare in smart spaces. IEEE Internet of Things Journal, 1(2), 144–152.
  8. Amin, S. U., Hossain, M. S., Muhammed, G., Alhussein, M., & Rahman, M. A. (2019). Cognitive smart healthcare for pathology detection and monitoring. IEEE Access, 7, 10745–10753. https://doi.org/10.1109/ACCESS.2019.2891390.

Ayrıntılar

Birincil Dil

Türkçe

Konular

Mühendislik

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

30 Kasım 2021

Gönderilme Tarihi

19 Mart 2021

Kabul Tarihi

6 Eylül 2021

Yayımlandığı Sayı

Yıl 1970 Sayı: 27

Kaynak Göster

APA
Köse, G., & Kurutkan, M. N. (2021). Sağlık Hizmetlerinde Nesnelerin İnterneti Uygulamalarının Bibliyometrik Analizi. Avrupa Bilim ve Teknoloji Dergisi, 27, 412-432. https://doi.org/10.31590/ejosat.868000

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