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텍스트마이닝 기법을 활용한 항암화학요법을 받는 암 환자의 전화상담 분석 : Analysis of Telephone Counseling of Patients in Chemotherapy Using Text Mining Technique

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Authors

김서연; 정지현; 강혜영; 배지혜; 심가영; 유미영; 서은영

Issue Date
2022-03
Publisher
대한종양간호학회
Citation
Asian Oncology Nursing, Vol.22 No.1, pp.46-55
Abstract
Purpose: The purpose of this study was to analyze the frequency and relevance of frequent keywords using text mining analysis for symptom-related telephone counseling of patients undergoing chemotherapy, and to understand the current status and characteristics of the nursing intervention. Methods: 442 cases of telephone counseling of patients undergoing chemotherapy were collected. The symptoms were classified and separated according to the contents of the consultation between the nurse and the counseling participant& Using the python library, frequency words were extracted, and the generation of word co-occurrence matrices was analyzed through social network analysis. Results: For the four cancers to be analyzed (breast, colorectum, stomach, lung), the common frequent words of nurse and counseling participants were 'medical staff (uilyojin)', 'medical treatment (jinlyo)', 'treatment (chilyo)', other hospital (tabyeongwon)', 'prescription (cheobang)'. In the analysis of social networks, words with highly betweenness centrality which appear in common, almost matched those of frequent words. Conclusion: In this study, it was possible to extract the most frequent words by cancer type from the contents of telephone counseling with cancer patients and to understand the current status and context of the actual telephone counseling focusing on each keyword.
ISSN
2287-2434
URI
https://hdl.handle.net/10371/183953
DOI
https://doi.org/10.5388/aon.2022.22.1.46
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