Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
The Big Data Awareness of Turkish Neurosurgeons: A National Survey
4
Zitationen
8
Autoren
2022
Jahr
Abstract
Objective: The term big data refers to high volumes of data that are difficult to store, process, and analyze through traditional database technologies. This paper aims to discover the big data knowledge and awareness of Turkish neurosurgeons. Methods: An online survey link was sent to all members of the Turkish Neurosurgical Society (n=1707 neurosurgeons) by e-mail. The survey, which was available during September and October 2021, was filled by 211 specialists (12.4%) neurosurgeons. Participants were scored based on the questions asked in “Big Data” and the scores were compared with baseline characteristics.There was no statistically significant correlation between baseline characteristics (age, gender, the residency/current institution, academic title, the presence of a Ph.D. degree, and professional specialist period) and survey score. The survey scores of the participants who used a big data platform, wrote code, thought that the use of big data was beneficial, and wanted to learn more about this subject were statistically significantly higher. Conclusions: Obtaining information about big data seems to be related only to personal interests. Necessary arrangements should be made in the training programs of neurosurgeons on this topic, which is gaining in popularity and provides useful information for daily clinical practice.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.214 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.071 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.429 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.418 Zit.