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Publikacije (45668)

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A. Manikandan, Yassine Slimani, A. Dinesh, Anish Khan, K. Thanrasu, A. Baykal, S. Jaganathan, H. Džudžević-Čančar et al.

N. Hynes, R. Sankaranarayanan, P. Kannan, Anish Khan, A. Khan, Abdullah M. Asiri, H. Džudžević-Čančar

R. Kumar, P. Kumar, Anish Khan, Abdullah M. Asiri, H. Džudžević-Čančar

B. Ramnath, V. Manickavasagam, S. Rajesh, Anish Khan, Abdullah M. Asiri, H. Džudžević-Čančar

Mohd Imran Ahamed, Nimra Shakeel, Naushad Anwar, Anish Khan, Abdullah M. Asiri, H. Džudžević-Čančar

Hilal Acidereli, Mohd Imran Ahamed, B. Aksoy, Mohammad Omaish Ansari, S. P. Ansari, Naushad Anwar, A. Asiri, Hakan Burhan et al.

Abdalla M. Abdalla, Mohamed M. Elsabahy, Abdulrahman Fargaly, Mohamed M. K. Dawood, Anish Khan, Abdullah M. Asiri, H. Džudžević-Čančar, A. Azad

R. Kumar, Vijay Ananth Suyamburajan, Anish Khan, Abdullah M. Asiri, H. Džudžević-Čančar

Julie Polisena, Martina Andellini, Piergiorgio Salerno, S. Borsci, L. Pecchia, E. Iadanza

A health technology assessment (HTA) is commonly defined as a multidisciplinary approach used to evaluate medical, social, economic, and ethical issues related to the use of a health technology in a systematic, transparent, unbiased, robust manner. To help inform HTA recommendations, the surveillance of social media platforms can provide important insights to the clinical community and to decision makers on the effectiveness and safety of the use of health technologies on a patient. A scoping review of the published literature was performed to gain some insight on the accuracy and automation of sentiment analysis (SA) used to assess public opinion on the use of health technologies. A literature search of major databases was conducted. The main search concepts were SA, social media, and patient perspective. Among the 1,776 unique citations identified, 12 studies that described the use of SA methods to evaluate public opinion on or experiences with the use of health technologies as posted on social media platforms were included. The SA methods used were either lexicon- or machine learning-based. Two studies focused on medical devices, three examined HPV vaccination, and the remaining studies targeted drug therapies. Due to the limitations and inherent differences among SA tools, the outcomes of these applications should be considered exploratory. The results of our study can initiate discussions on how the automation of algorithms to interpret public opinion of health technologies should be further developed to optimize the use of data available on social media.

Adnan Busuladžić

Na prostoru Bosne i Hercegovine čuva se izvjestan broj predmeta koji se mogu determinirati kao kopče. Navedeni predmeti služili su u praktične svrhe, ali i kao dio dekorativnoga sadržaja. S obzirom na širok spektar predmeta koji su obrađeni, i datacijski okvir je razmjerno širi i kreće se od 1. stoljeća pa do perioda kasne antike i ranoga srednjeg vijeka.

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