Analysis and Prediction of Factors Influencing Residents’ Willingness to Sign up for “Family Doctors” Under Micro-family Vision

DOI

10.2991/978-2-38476-400-6_43How to use a DOI?

Keywords

Micro-family vision; Family doctor; Signing service contract willingness; Influencing factors; Analysis and prediction

Abstract

In order to solve the problem of predicting and analyzing the factors influencing residents’ willingness to enroll in “family doctors”, this paper proposes an analysis method using BP neural network machine learning, taking into account multiple factors under the micro family vision. Firstly, we analyze five types of variables that characterize the main members of a resident’s family, namely, occupational factors, head of household factors, economic factors, political factors, and health factors, and establish a prediction model using satisfaction with signing the contract as the criterion. Secondly, the BP neural network prediction model was constructed based on 568 sets of survey data, and the prediction was carried out in city A and city B, respectively. Finally, the coupling relationship between the factors influencing residents’ willingness to contract with “family doctors” was analyzed and discussed. As a result, the model shows good fitting characteristics, confirms its applicability and practicality, and brings new ideas and methods to the study of residents’ willingness to sign up for “family doctors”.

Copyright

© 2025 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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TY  - CONF
AU  - Qiaowen Tang
AU  - Daisheng Tang
PY  - 2025
DA  - 2025/05/15
TI  - Analysis and Prediction of Factors Influencing Residents’ Willingness to Sign up for “Family Doctors” Under Micro-family Vision
BT  - Proceedings of the 2nd International Conference on Educational Development and Social Sciences (EDSS 2025)
PB  - Atlantis Press
SP  - 349
EP  - 359
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-400-6_43
DO  - 10.2991/978-2-38476-400-6_43
ID  - Tang2025
ER  -