Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)

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Study on the Development Status and Influencing Factors of Traditional Chinese Medicine Service Ability in Jilin Province Based on Logistic Regression Algorithm

Authors
Yanyin Cui1, Fang Xia1, Shuqing Xing1, Jingshuo Liu1, *
1School of Health Management, Changchun University of Chinese Medicine, Changchun, 130117, Jilin, China
*Corresponding author. Email: 13843110147@163.com
Corresponding Author
Jingshuo Liu
Available Online 10 August 2023.
DOI
10.2991/978-94-6463-198-2_22How to use a DOI?
Keywords
Primary health; TCM service ability; Logistic regression algorithm; Machine Learning
Abstract

Objective from the perspective of doctors’ perception and institutional development, the current situation and influencing factors of the development of Traditional Chinese Medicine service ability in Jilin Province were analyzed to provide a reference for the targeted development of primary health care services. Method: three hundred and thirty-seven primary care physicians in Jilin Province were selected for the study by random sampling method. The χ2 test was used to conduct single factor analysis on sixteen indicators. And Logistic regression algorithm was used to construct a model of influencing factors of traditional Chinese medicine service ability at the grassroots level in Jilin Province. Results: χ2 test showed that fourteen indicators were statistically significant. Logistic analysis further screened out the main factors affecting the ability of primary health services: doctors’ specialty, business qualification, average daily TCM service visits, average daily TCM consultation ratio, availability of independent TCM rooms, implementation of system and norms, total annual training hours, and annual training times. Conclusion: TCM services ability in Jilin Province needs to be improved, and there is a large gap with the relevant national regulations.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
10 August 2023
ISBN
10.2991/978-94-6463-198-2_22
ISSN
2589-4900
DOI
10.2991/978-94-6463-198-2_22How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yanyin Cui
AU  - Fang Xia
AU  - Shuqing Xing
AU  - Jingshuo Liu
PY  - 2023
DA  - 2023/08/10
TI  - Study on the Development Status and Influencing Factors of Traditional Chinese Medicine Service Ability in Jilin Province Based on Logistic Regression Algorithm
BT  - Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)
PB  - Atlantis Press
SP  - 191
EP  - 200
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-198-2_22
DO  - 10.2991/978-94-6463-198-2_22
ID  - Cui2023
ER  -