Neural expert decision support system for stroke diagnosis

2017 ◽  
Author(s):  
Leonid M. Kupershtein ◽  
Tatiana B. Martyniuk ◽  
Myhail D. Krencin ◽  
Andriy V. Kozhemiako ◽  
Yurii Bezsmertnyi ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Stroke Diagnosis ◽  
Expert Decision Support System

scholarly journals Controlling the periodicity of grinding wheel dressing with the application of expert decision support system

2020 ◽  
Vol 862 ◽  
pp. 032071
Author(s):  
E M Samoylova ◽  
M Yu Zakharchenko ◽  
M V Vinogradov ◽  
M G Babenko ◽  
A A Ignatiev ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Grinding Wheel ◽  
Expert Decision Support System

scholarly journals Using artificial intelligence for improving stroke diagnosis in emergency departments: a practical framework

2020 ◽  
Vol 13 ◽  
pp. 175628642093896
Author(s):  
Vida Abedi ◽  
Ayesha Khan ◽  
Durgesh Chaudhary ◽  
Debdipto Misra ◽  
Venkatesh Avula ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Improve Patient Care ◽  
The United States ◽  
Therapeutic Window ◽  
Ethical Challenges ◽  
Presenting Symptoms ◽  
Stroke Diagnosis

Stroke is the fifth leading cause of death in the United States and a major cause of severe disability worldwide. Yet, recognizing the signs of stroke in an acute setting is still challenging and leads to loss of opportunity to intervene, given the narrow therapeutic window. A decision support system using artificial intelligence (AI) and clinical data from electronic health records combined with patients’ presenting symptoms can be designed to support emergency department providers in stroke diagnosis and subsequently reduce the treatment delay. In this article, we present a practical framework to develop a decision support system using AI by reflecting on the various stages, which could eventually improve patient care and outcome. We also discuss the technical, operational, and ethical challenges of the process.

A DECISION SUPPORT SYSTEM FOR THE ENVIRONMENTAL IMPACT OF ICT AND E-BUSINESS

2009 ◽  
Vol 08 (02) ◽  
pp. 361-377 ◽  
Author(s):  
LAN YI ◽  
HYWEL R. THOMAS
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Information And Communication Technologies ◽  
Support System ◽  
Environmental Indicators ◽  
Process Data ◽  
Post Process ◽  
Artificial Neural Network Ann ◽  
Expert Decision Support System ◽  
Current Area

Information and communication technologies (ICT) and e-business are affecting our economic progress, social development, and the environment profoundly and in a complex manner. As an emerging field of research, significant interests have been aroused but quantitative studies are rather limited. Traditional systematic approaches for impact studies have been found to be insufficient to deal with this research topic. In order to further explore the relationship between ICT/e-business and the environment, the approach adopted in this study aimed to simulate how ICT/e-business indicators interact with environmental indicators quantitatively. Owing to lack of data and information in the current area in government bodies/councils/research institutes, two questionnaire surveys were conducted. Details of the data collection progress are provided. An artificial neural network (ANN) approach, embedded in a more predictive and empirical model, is suggested herein as a new methodology and possible solution. Furthermore an expert decision support system (EDSS), built around these neural networks with a user-friendly interface and being able to post-process data to information, is developed. The system could be used, for example, by an individual company to analyze how its ICT/e-business adoptions influence its environmental performance.

scholarly journals MULTIPLE CRITERIA DECISION SUPPORT SYSTEM FOR THE ASSESSMENT OF ENERGY GENERATION TECHNOLOGIES CONSIDERING THE DIMENSION OF VALUES

2012 ◽  
Vol 16 (4) ◽  
pp. 370-391 ◽  
Author(s):  
Jūratė Šliogerienė ◽  
Artūras Kaklauskas ◽  
Dalia Štreimikienė ◽  
Massimo Bianchi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Community Involvement ◽  
Health And Safety ◽  
Energy Generation ◽  
Qualitative Assessment ◽  
Integrated Analysis ◽  
Expert Decision Support System ◽  
The Impact

Comprehension of the effect of energy generation technologies on the natural environment, human health and safety leads to a new and responsible approach to the choice and development of technologies. When it comes to preparing energy growth scenarios and handling issues related to the choice and assessment of technologies, environmental studies must be in a particular spotlight. One way to make quantitative and qualitative assessment of the effect of technologies on the environment is through a thorough integrated analysis, which, in addition to economic and technical solutions, also considers other aspects of concern to the public. A changed environment demands for systems of criteria which help consider its changes, the attitudes of the general public, public sentiments toward the effect of technologies, public values and community involvement in the process of important decision-making. The article examines how the dimension of values affects the analysis of the impact of environmental factors on the value of energy generation technologies. It presents a set of criteria for the assessment of energy generation technologies; the set, in addition to technological, economic and environmental criteria, includes criteria which reflect the values. The article also introduces the expert decision support system EGTAV-SPS, which helped assess the effect of environment on energy production technologies.

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