The Disease Prevention and Rescue System based on Lorentz-RR Analysis Technology for Public Welfare Organizations

Title

The Disease Prevention and Rescue System based on Lorentz-RR Analysis Technology for Public Welfare Organizations

Authors

SUN Maoran *,1, SONG Qingqing 2, PENG Shaohan 3
1 Zhejiang Sci-Tech University
2 Balerusian State University
3 Zhejiang Sci-Tech University

Published In

Theoretical and Natural Science

Published Date

7 March 2024

Abstract

Health concerns have become a significant focus in people’s daily lives. Currently, with the increasing demand for monitoring human health, some social organizations need to strengthen health detection technology, and various related technologies are emerging. The aim of this study is to develop a social organization disease prevention and assistance system that integrates the advantages and resources of social organizations, social service institutions, social workers, caregivers, service recipients, and their families. The main system is designed based on a front-end and back-end separation architecture, using core technology: the Lorenz-RR scatterplot classification algorithm to achieve the selection of classification algorithms, the development of AlexNet algorithm, and the optimization of dataset expansion algorithm, Thus, the improvement of the Lorenz-RR scatterplot classification algorithm of the AlexNet model is achieved, and the development of a social organization disease prevention and assistance system is completed. It has high accuracy and sensitivity in the analysis of relevant indicators of service objects, and its application value is significant, with widespread promotion significance.

Identifiers

• DOI: 10.54254/2753-8818/31/20241144
• CNKI: Pending

Links

EWA Publishing
https://www.ewadirect.com/proceedings/tns/article/view/10422