Loading…

Construction of risk warning model of agitated behavior of the elderly in Zhejiang pension institutions

Alzheimer’s disease is considered the epidemic of the twentieth century, particularly the radical behavior produced by the patients, which can easily lead to an increase in mortality. This paper focuses on optimizing the search path algorithm to forecast the likelihood of aggressive behavior, enabli...

Full description

Saved in:
Bibliographic Details
Published in:Applied mathematics and nonlinear sciences 2024-01, Vol.9 (1)
Main Authors: Du, Rongbing, Xia, Junli
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Alzheimer’s disease is considered the epidemic of the twentieth century, particularly the radical behavior produced by the patients, which can easily lead to an increase in mortality. This paper focuses on optimizing the search path algorithm to forecast the likelihood of aggressive behavior, enabling the implementation of targeted preventive measures. Additionally, it performs preprocessing procedures like data cleansing on the health data of the elderly. We propose a feature extraction optimization model to calculate the feature contribution of elderly radical behavior data, filter the feature data associated with radical behavior based on this contribution, and establish an interpolation model for association rule learning. Using Logistic Regression, Simple Bayes, and Support Vector Machine classification models, the risk warning model for aggravated behavior is constructed. After one month’s intervention with the risk warning model, the aggressive behavior of the elderly decreased by 58.83%, 43.06%, and 67.94%, respectively, compared to the pre-intervention period, and the intervention effect of the model was good.
ISSN:2444-8656
2444-8656
DOI:10.2478/amns-2024-2524