Artículo

Scientific production about hospitals in the context of Data Science: a study from the Web of Science

Resumen

Objective: to carry out the bibliometric analysis on the applications of Data Science in the context of hospital associations. Methods: Through research in the Web of Science database, it was verified the existence of terms related to Data Science, such as, big data, data analysis, businesss intelligence, data mining, data warehouse, text mining and data science, relating them to hospitals. Data analysis was based on the social network analysis technique. The period considered was from 2015 to 2019. Results: Machine learning and electronic health records emerge as relevant issues. The most expressive interactions reflect the inclination of Medical Informatics in matters related to decision making, information systems for hospitals and intensive care units. Regarding the fields, it is noted the expected predominance of the Health area and of the domains belonging or bordering on Technology. In addition, it can be seen that the wide variety of areas found accuses the interdisciplinary nature of the subject, including, with an important participation of Information Science. Regarding the geography of knowledge, there is a reasonable degree of decentralization, with representative productions in North America, Europe and Asia. As for the publication vehicles, emphasis is given to Studies in Informatics and Health.
Bian, Jinhu (43561035200); Zhao, Jinping (59501798600); Li, Ainong (14519510100)
Remote sensing monitoring of mountain sustainable development goals (SDG15.4): a systematic review
2025
10.1080/17538947.2024.2448216
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214201301&doi=10.1080%2f17538947.2024.2448216&partnerID=40&md5=2c670cf16564de87238b2feaebb01c1e
Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, China; University of Chinese Academy of Sciences, Beijing, China; Wanglang Mountain Remote Sensing Observation and Research Station of Sichuan Province, Mianyang, China
All Open Access; Gold Open Access
Scopus
Artículo obtenido de:
Scopus
Fuente
0 0 votos
Califica el artículo
Campus Samborondón
Vía Samborondón Km. 13.5
Call Center: 5150400
metricas@ecotec.edu.ec
Facebook Instagram Youtube

Mapa del sitio