A Fuzzy Spiking Neural Network with State Transition Diagram for Behavior Estimation in Elderly Health Care System

2019 ◽  
Author(s):  
Shuai Shao ◽  
Naoyuki Kubota
Keyword(s):  
Neural Network ◽  
Health Care ◽  
Health Care System ◽  
State Transition ◽  
Spiking Neural Network ◽  
Transition Diagram ◽  
State Transition Diagram ◽  
Elderly Health ◽  
Care System

A Fuzzy Inference-Based Spiking Neural Network for Behavior Estimation in Elderly Health Care System

2019 ◽  
Vol 23 (3) ◽  
pp. 528-535 ◽  
Author(s):  
Shuai Shao ◽  
◽  
Naoyuki Kubota
Keyword(s):  
Neural Network ◽  
Health Care ◽  
Health Care System ◽  
Fuzzy Inference ◽  
Population Aging ◽  
Environmental Sensors ◽  
Inference System ◽  
Spike Neural Network ◽  
Elderly Health ◽  
Care System

In recent years, population aging has become an important social issue. We hope to achieve an elderly health care system through technical means. In this study, we developed an elderly health care system. We chose to use environmental sensors to estimate the behavior of older adults. We found that traditional methods have difficulty solving the problem of excessive indoor environmental differences in different households. Therefore, we provide a fuzzy spike neural network. By modifying the sensitivity of input using a fuzzy inference system, we can solve the problem without additional training. In the experiment, we used temperature and humidity data to make an estimation of behavior in the bathroom. The results show that the system can estimate behavior with 97% accuracy and 78% sensitivity.

scholarly journals Living in the Age of Austerity and Migration

2017 ◽  
Vol 25 (4) ◽  
pp. 340-360 ◽  
Author(s):  
Qingwen Xu ◽  
Jamie P. Halsall
Keyword(s):  
Health Care ◽  
Social Policy ◽  
Financial Crisis ◽  
Health Care System ◽  
Global Financial Crisis ◽  
The World ◽  
Elderly Health ◽  
Financial Crisis Of 2008 ◽  
The Global Financial Crisis ◽  
Care System

The global financial crisis of 2008 has caused much dialogue within the social policy framework on how to maintain a sustainable elderly health-care system. This coupled with a migrant crisis have created extra social and economic pressures in Europe in particularly. As it has been well documented by social scientists, people are living longer than ever before. There are two fundamental factors that are helping people live to an old age, which are as follows: (a) a better quality of life and (b) improved health-care system at state level. However, since the global financial crisis of 2008 populations across the world are living in an age of austerity. The age of austerity has brought extra financial pressures on the state, polarizing society by implementing cuts in welfare. The reason many governments across the world (e.g., United States, United Kingdom, and Greece) have enforced a series of austerity measures is fundamentally to reduce debt. The aim of this article is to critically explore the austerity social policy agenda within the context of the debates surrounding the refugee or migrant crisis in the elderly health-care system.

A decision support healthcare system based on IoT and neural network technique

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Khadeja Al_Sayed Fahmy ◽  
Ahmed Yahya ◽  
M. Zorkany
Keyword(s):  
Neural Network ◽  
Health Care ◽  
Deep Learning ◽  
Decision Support ◽  
Health System ◽  
Health Care System ◽  
Virus Disease ◽  
Activation Function ◽  
Content Type ◽  
Care System

Purpose The purpose of this paper is to develop e-health and patient monitoring systems remotely to overcome the difficulty of patients going to hospitals especially in times of epidemics such as virus disease (COVID-19). Artificial intelligence (AI) technology will be combined Internet of Things (IoT) in this research to overcome these challenges. The research aims to select the most appropriate, best-hidden layers numbers and the activation function types for the neural network (NN). Then, define the patient data sent through protocols of the IoT. NN checks the patient’s medical sensors data to make the appropriate decision. Then it sends this diagnosis to the doctor. Using the proposed solution, the patients can diagnose and expect the disease automatically and help physicians to discover and analyze the disease remotely without the need for patients to go to the hospital. Design/methodology/approach AI technology will be combined with the IoT in this research. The research aims to select the most appropriate’ best-hidden layers numbers’ and the activation function types for the NN. Findings Decision support health-care system based on IoT and deep learning techniques was proposed. The authors checked out the ability to integrate the deep learning technique in the automatic diagnosis and IoT abilities for speeding message communication over the internet has been investigated in the proposed system. The authors have chosen the appropriate structure of the NN (best-hidden layers numbers and the activation function types) to build the e-health system is performed in this work. Also, depended on the data from expert physicians to learn the NN in the e-health system. In the verification mode, the overall evaluation of the proposed diagnosis health-care system gives reliability under different patient’s conditions. From evaluation and simulation results, it is clear that the double hidden layer of feed-forward NN and its neurons contain Tanh function preferable than other NN. Originality/value AI technology will be combined IoT in this research to overcome challenges. The research aims to select the most appropriate, best-hidden layers numbers and the activation function types for the NN.

Design of Home-Based Elderly Health Care System

2020 ◽  
Vol 7 (2) ◽  
pp. 21-25
Author(s):  
Zhaoyu Li ◽  
Shuang Liu ◽  
Linyan Xue
Keyword(s):  
Health Care ◽  
Health Care System ◽  
Home Based ◽  
Elderly Health ◽  
Care System

Assessment of the effectiveness of Ukraine’s healthcare system in the context of accelerated development of innovative technologies

2019 ◽  
pp. 33-38
Author(s):  
Zoryna Yurynets ◽  
Oksana Petrukh ◽  
Ivanna Myshchyshyn ◽  
Marianna Kokhan ◽  
Lesia Gnylianska
Keyword(s):  
Neural Network ◽  
Health Care ◽  
Health Policy ◽  
Research And Development ◽  
Health Care System ◽  
Development Work ◽  
Public Healthcare ◽  
Gdp Growth ◽  
Innovative Technologies ◽  
Care System

The article proposes scientific and methodological provisions regarding the evaluation of the effectiveness of the health care system of Ukraine in the conditions of accelerated development of medical innovative technologies. This model is based on the application of neural network modeling tools. The application of the developed model of the evaluation of the effectiveness of the health care system makes it possible to identify the state of public financing of health care and the research and development, to cover a large amount of data and to carry out a comparative analysis of national health policy in terms of the developed countries of the world. During the formation of the neural network model, the relationship between the different factors and the level of GDP is established. For the purposes of the present study, the results of the Ukraine’s social, economic, innovation policy for 2000-2017 have been used as the most predictable element of available data on impact on GDP growth. The proposed methodological provisions make it possible to predict the best option for the development of the health care system and the research and development work in Ukraine, facilitate the possibility of making informed decisions regarding the health policy, optimize the management decision-making regarding the future directions of the research and development work. Public healthcare financing and research and development financing have the biggest influence over the GDP growth. The increase of expenditures of the state budget on public healthcare and research and development is important for socio-economic and innovative growth of Ukraine. The main provisions can be adopted by an executive bodies of the government of Ukraine, local and regional authorities of the national economy. The analysis is the basis for formation of methodological approaches to evaluation of the effectiveness of health care system and other spheres of economic activity and creation of strategies and programs for development of health care system and innovative activity of Ukraine at different hierarchical levels.

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