scholarly journals Research on active response proactive elderly care service model based on user interest atlas discovery and personalized recommendation

2020 ◽  
Keyword(s):  
Care Service ◽  
Elderly Care ◽  
Personalized Recommendation ◽  
Service Model ◽  
User Interest ◽  
Active Response ◽  
Model Based

scholarly journals Construction of the “Internet Plus” Community Smart Elderly Care Service Platform

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Biying Wang ◽  
Liangpeng Xu
Keyword(s):  
Mobile Networks ◽  
Population Aging ◽  
Care Service ◽  
Rapid Development ◽  
Elderly Care ◽  
Supply And Demand ◽  
The Internet ◽  
Service Model ◽  
Care Services

With the rapid development of China’s market economy and the increasing trend of population aging, the traditional community elderly care service model has exposed more and more problems, such as the imbalance between supply and demand, single service, and lack of flexibility. In response to these issues, this research attempts to explore the possible paths and practical challenges of applying the Internet, Internet of Things, mobile networks, big data, and cloud computing to community elderly care services. This research believes that the construction of the “Internet Plus” community smart elderly care services platform is a general trend. Innovating the traditional community elderly care service model is conducive to fully integrating elderly care resources and improving the quality of elderly care services.

The Improved Collaborative Filtering Recommendation Algorithm Based on Cloud Model

2013 ◽  
Vol 411-414 ◽  
pp. 2292-2296
Author(s):  
Jia Si Gu ◽  
Zheng Liu
Keyword(s):  
Collaborative Filtering ◽  
Recommendation System ◽  
Cloud Model ◽  
Personalized Recommendation ◽  
Test Results ◽  
User Interest ◽  
Recommendation Algorithm ◽  
Filtering Algorithm ◽  
Model Based ◽  
Collaborative Filtering Algorithm

The traditional collaborative filtering algorithm has a better recommendation quality and efficiency, it has been the most widely used in personalized recommendation system. Based on the traditional collaborative filtering algorithm,this paper considers the user interest diversity and combination of cloud model theory.it presents an improved cloud model based on collaborative filtering recommendation algorithm.The test results show that, the algorithm has better recommendation results than other kinds of traditional recommendation algorithm.

HOME CARE IN OUTPATIENT CARE – STATE AND DEVELOPMENT IN BULGARIA

2018 ◽  
Vol 28 (2) ◽  
pp. 571-574
Author(s):  
Ivanka Stambolova ◽  
Stefan Stambolov
Keyword(s):  
Home Care ◽  
Outpatient Care ◽  
Care Service ◽  
Elderly Care ◽  
Care Center ◽  
Elderly Person ◽  
Chronically Ill ◽  
The Elderly ◽  
Legal Regulation ◽  
Health And Social Care

In outpatient care the home care, including hospices, is recognized as a model for providing quality, cost-effective and charitable care. The focus is mainly on the care that helps everyday lifeof the patient as well as the relatives, rather than on treatment, and in most cases it takes place in the patients' home. In Europe, in recent years there has been a real "boom" in home care due to demographic processes linked to increased needs for elderly care and chronically ill under the conditions of limited financial resources.In outpatient medical care in our country by means of a national framework contract there are regulated visits to the patient's home by a doctor, as well as visits by medical staff employed by him - nurse, midwife, medical assistant / paramedic / for manipulation, counseling and monitoring. At the same time there is no regulated legal activity in the Republic of Bulgaria, which is essentially the subject of home care.Since 1994 „Caritas“ has carried out the "Home Care" service, which provides a complex - health and social care for over 360 sick adults in a place where the elderly person feels the most comfortable - in their own home. „Caritas Home Care“ is provided by mobile teams of nurses and social assistants who visit the elderly at home and provide them with the necessary care according to their health and social needs.With the establishment of the first „Home Care Center“ in Lozenets region, Sofia, with the support of the PHARE ACCESS program in 2003, the Bulgarian Red Cross introduces in Bulgaria an integrated model for provision of health care and social services in the home of adults, chronically ill and people with permanent disabilities. To date, there are a number of problems in home care related to the realization of home care for patients in need in out-of-hospital settings: lack of legal regulation for home care, lack of qualified staff in outpatient care; lack of organization and structures for care; unsettled funding and the inability of the part of the population that is most in need of care to pay for it, there is no regulation to control the activity. Although home care began over 20 years ago, our country is yet to make its way to the European program called „Home care in Europe“.

Development of a Mobile Time Banking system on Blockchain (MTBB) for Community Elderly Care (Preprint)

2019 ◽  
Author(s):  
Hungyi Chen ◽  
Yuan-Chia Chu ◽  
Feipei Lai
Keyword(s):  
Care Service ◽  
Elderly Care ◽  
Banking System ◽  
The Elderly ◽  
Community Services ◽  
The Other ◽  
Smartphone App ◽  
Smartphone Apps ◽  
Member Service ◽  
Blockchain Technology

BACKGROUND Time banking is a good mechanism to provide elderly care in community services with members having mutual benefits, besides social welfare and out-of-pocket fee payment mechanisms. With further integration with off-line works, mobile time banking may provide a better way, compared to traditional web access. On the other hand, blockchain technology has been long encountering difficulty in integrating with real-world economies or activities. Development of a mobile time banking system on blockchain (MTBB) may provide a realistic solution for community elderly care. Besides, the tracking mechanism from blockchain technology itself may also help track the elderly care service transaction records in order to measure better Sustainable Development Goals (SDGs) set by United Nations (UN). OBJECTIVE The aim of this study was to develop the MTBB, which enables tracking service transaction records in community elderly care through mutual helps. METHODS The MTBB was developed to empower organizations, either Corporate Social Responsibility (CSR) organizations, or Non-Profit Organizations (NPOs), to issue time tokens of their proprietary token types to the members who participate in the volunteer activities organized by the organizations respectively. In the service activities, members sign in and sign out before and after the services by using a smartphone app, and then get the time tokens afterwards. Members with time tokens can then exchange time tokens for elderly care services using the same smartphone app. MultiChain is used as the blockchain technology stack, as one of its features to support multiple token types is critical. RESULTS Database applications with smartphone apps integrated with MultiChain were developed. The whole set of the database schema was integrated with two smartphone apps, one for members, and the other for organizations, in addition to the two backend operations modules, one for organizations, and the other for managing all organizations and members. The MultiChain wallet was also integrated into the member app, as well as the organization backend modules for keeping track of the service transactions and time tokens. Metadata with the service transaction information is stored in the MultiChain blocks so that the transaction records are immutable and can thus be analyzed in the future. CONCLUSIONS The twelve characteristics of Cahn’s time banking are the guidelines of developing this MTBB with integration of MultiChain blockchain technology for tracking service transaction records. The study also combines the 1-to-1 member service exchange with organizations holding volunteer activities and issuing proprietary time tokens. With the blockchain transaction tracking mechanism, all of the elderly care service records through or within organizations can be tracked and analyzed to align with UN’s five SDGs.

An interpretable mechanism for personalized recommendation based on cross feature

2021 ◽  
pp. 1-12
Author(s):  
Lv YE ◽  
Yue Yang ◽  
Jian-Xu Zeng
Keyword(s):  
Recommender System ◽  
Online Shopping ◽  
Side Information ◽  
Attention Mechanism ◽  
Personalized Recommendation ◽  
Model Based ◽  
Embedded Model ◽  
Feature Attention ◽  
Match Score

The existing recommender system provides personalized recommendation service for users in online shopping, entertainment, and other activities. In order to improve the probability of users accepting the system’s recommendation service, compared with the traditional recommender system, the interpretable recommender system will give the recommendation reasons and results at the same time. In this paper, an interpretable recommendation model based on XGBoost tree is proposed to obtain comprehensible and effective cross features from side information. The results are input into the embedded model based on attention mechanism to capture the invisible interaction among user IDs, item IDs and cross features. The captured interactions are used to predict the match score between the user and the recommended item. Cross-feature attention score is used to generate different recommendation reasons for different user-items.Experimental results show that the proposed algorithm can guarantee the quality of recommendation. The transparency and readability of the recommendation process has been improved by providing reference reasons. This method can help users better understand the recommendation behavior of the system and has certain enlightenment to help the recommender system become more personalized and intelligent.

scholarly journals A Study on Supply–Demand Satisfaction of Community-Based Senior Care Combined with the Psychological Perception of the Elderly

Healthcare ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 643
Author(s):  
Jiangang Shi ◽  
Wenwen Hua ◽  
Daizhong Tang ◽  
Ke Xu ◽  
Quanwei Xu
Keyword(s):  
Latent Variables ◽  
Structural Equation ◽  
Care Service ◽  
Elderly Care ◽  
The Elderly ◽  
Living Environment ◽  
Equation Modeling ◽  
Strategic Decisions ◽  
Community Based ◽  
The Government

Based on Maslow’s hierarchy of needs theory and customer satisfaction theory, we constructed a satisfaction model for supply–demand satisfaction for community-based senior care (SSCSC) combined with the psychological perspective of the elderly, and four dimensions of basic living needs (BLNs), living environment (LE), personal traits (PTs), and livability for the aged (LA) were selected to construct the model. The data were obtained from 296 questionnaires from seniors over 50 years old (or completed by relatives on their behalf, according to their actual situation). Twenty-two observed variables were selected for the five latent variables, and their interactions were explored using structural equation modeling. The results showed that LA was the most significant factor influencing SSCSC, and it was followed by BLNs and LE. PTs did not show a direct effect on LA, but they could have an indirect effect on SSCSC through influencing BLNs and LE. Based on the current state of community aging satisfaction, we propose to establish a community elderly care service system based on the basic needs of the elderly population, providing differentiated and refined elderly care services and improving the level of aging-friendly communities. This study provides references for the government to formulate relevant policies and other supply entities to make strategic decisions and has important implications for further enhancing community elderly services to become an important part of the social security system for the elderly.

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