Sağlık Yönetimi Alanındaki Yayınların Metin Madenciliği Kullanılarak Değerlendirilmesi Üzerine Bir Çalışma
Sağlık Yönetimi & Metin Madenciliği
Abstract views: 194 / PDF downloads: 139
DOI:
https://doi.org/10.5281/zenodo.7497099Keywords:
Health Management, Text Mining, Data ProcessingAbstract
Various scientific studies have been made on the concept of management, and it is a concept that is being done, and when this concept is considered in terms of health management, works with different keywords attract attention. The field of health management includes different sub-titles due to its structure. This content highlights both the richness and importance of the health management area. Scientific studies have to lead, guide and inspire future studies. This mission is actually an inherit in science. Scientific activities progress by building on each other, so that related fields of science develop. In the presented paper, the publications made in the field of health management between 1996-2022, scanned in the Web of Science and with the keyword Healthcare Management were examined. The most used word groups in these publications, which are considered as qualified works by the indexes they are accepted, have been analyzed by text mining. The motivation of this paper is to compare the studies carried out in the field of health management in the mentioned years, to draw a roadmap about what kind of scientific studies have been done in the field of health management in order to be aware of global developments and what kind of studies can be done in the following processes. In this context, the summaries of these studies were analyzed by text mining. With text mining, single, double and triple word groups were determined most frequently in the abstracts.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 trk dergisi
This work is licensed under a Creative Commons Attribution 4.0 International License.