scholarly journals Ontology-Driven Knowledge-Based Health-Care System, An Emerging Area – Challenges And Opportunities – Indian Scenario

2014 ◽  
Vol XL-8 ◽  
pp. 239-246 ◽  
Author(s):  
A. Sunitha ◽  
G. Suresh Babu
Keyword(s):  
Decision Making ◽  
Semantic Knowledge ◽  
Public Healthcare ◽  
Policy Makers ◽  
Knowledge Based ◽  
Healthcare Decision Making ◽  
Wide Range ◽  
Challenges And Opportunities ◽  
Decision Making System ◽  
Semantic Knowledge Base

Recent studies in the decision making efforts in the area of public healthcare systems have been tremendously inspired and influenced by the entry of ontology. Ontology driven systems results in the effective implementation of healthcare strategies for the policy makers. The central source of knowledge is the ontology containing all the relevant domain concepts such as locations, diseases, environments and their domain sensitive inter-relationships which is the prime objective, concern and the motivation behind this paper. The paper further focuses on the development of a semantic knowledge-base for public healthcare system. This paper describes the approach and methodologies in bringing out a novel conceptual theme in establishing a firm linkage between three different ontologies related to diseases, places and environments in one integrated platform. This platform correlates the real-time mechanisms prevailing within the semantic knowledgebase and establishing their inter-relationships for the first time in India. This is hoped to formulate a strong foundation for establishing a much awaited basic need for a meaningful healthcare decision making system in the country. Introduction through a wide range of best practices facilitate the adoption of this approach for better appreciation, understanding and long term outcomes in the area. The methods and approach illustrated in the paper relate to health mapping methods, reusability of health applications, and interoperability issues based on mapping of the data attributes with ontology concepts in generating semantic integrated data driving an inference engine for user-interfaced semantic queries.

KNOWLEDGE-BASED APPROACH TO ADAPTIVE SELECTION OF EQUIPMENT FOR TEACHING ROBOTICS

2019 ◽  
Author(s):  
Tetiana Mazurok ◽  
◽  
Volodymyr Chernykh ◽  
Keyword(s):  
Decision Making ◽  
Teaching Methods ◽  
Academic Disciplines ◽  
Administrative Staff ◽  
Adaptive Selection ◽  
Knowledge Based ◽  
Technical Base ◽  
Decision Making System ◽  
Oriented Approach ◽  
Selection Of

Innovations and progress in teaching, introduction of new academic disciplines in the curricula, changes in the paradigm of school education in Ukraine, the search for innovative tools, techniques and teaching methods, especially teaching STEAM create a good basis for teaching robotics. However, the organization of classes in robotics requires the creation of a special educational ecosystem, which important element is the technical base (equipment). It is not a secret, that administrative staff who sometimes even do not have required experience in technology are often engaged in the procurement of equipment and its selection. The current study was conducted to solve this problem, as well as to create a universal recommendation for creating an appropriate ecosystem for teaching robotics As part of the study, the task was to develop a prototype of an expert decision-making system for selecting of an appropriate equipment and zoning of a classroom (ICR) for conducting classes in robotics. Knowledge-oriented approach was used to create the prototype. Keywords: knowledge-based approach, robotics, adaptive selection, teaching robotics.

Decision-Making Support Systems

2011 ◽  
pp. 978-984
Author(s):  
Guisseppi Forgionne ◽  
Manuel Mora ◽  
Jatinder N.D. Gupta ◽  
Ovsei Gelman
Keyword(s):  
Decision Making ◽  
Information Systems ◽  
Support Systems ◽  
Original Version ◽  
Executive Information Systems ◽  
Intelligent Decision Making ◽  
Knowledge Based ◽  
Challenges And Opportunities ◽  
Research Findings ◽  
Decision Making Support

Decision-making support systems (DMSS) are computerbased information systems designed to support some or all phases of the decision-making process (Forgionne, Mora, Cervantes, & Kohli, 2000). There are decision support systems (DSS), executive information systems (EIS), and expert systems/knowledge-based systems (ES/KBS). Individual EIS, DSS, and ES/KBS, or pair-integrated combinations of these systems, have yielded substantial benefits in practice. DMSS evolution has presented unique challenges and opportunities for information system professionals. To gain further insights about the DMSS field, the original version of this article presented expert views regarding achievements, challenges, and opportunities, and examined the implications for research and practice (Forgionne, Mora, Gupta, & Gelman, 2005). This article updates the original version by offering recent research findings on the emerging area of intelligent decision-making support systems (IDMSS). The title has been changed to reflect the new content.

scholarly journals Robot Task Planning in Deterministic and Probabilistic Conditions Using Semantic Knowledge Base

2016 ◽  
Vol 7 (1) ◽  
pp. 56-77 ◽  
Author(s):  
Ahmed Abdulhadi Al-Moadhen ◽  
Michael Packianather ◽  
Rossitza Setchi ◽  
Renxi Qiu
Keyword(s):  
Domain Knowledge ◽  
Semantic Knowledge ◽  
Task Planning ◽  
Relational Models ◽  
Markov Logic ◽  
Plan Generation ◽  
Knowledge Based ◽  
Probabilistic Values ◽  
Robot Task ◽  
Semantic Knowledge Base

A new method is proposed to increase the reliability of generating symbolic plans by extending the Semantic-Knowledge Based (SKB) plan generation to take into account the amount of information and uncertainty related to existing objects, their types and properties, as well as their relationships with each other. This approach constructs plans by depending on probabilistic values which are derived from learning statistical relational models such as Markov Logic Networks (MLN). An MLN module is established for probabilistic learning and inference together with semantic information to provide a basis for plausible learning and reasoning services in support of robot task-planning. The MLN module is constructed by using an algorithm to transform the knowledge stored in SKB to types, predicates and formulas which represent the main building block for this module. Following this, the semantic domain knowledge is used to derive implicit expectations of world states and the effects of the action which is nominated for insertion into the task plan. The expectations are matched with MLN output.

9. Economic behaviour and public policy

2017 ◽  
pp. 116-126
Author(s):  
Michelle Baddeley
Keyword(s):  
Public Policy ◽  
Decision Making ◽  
Economic Policy ◽  
Behaviour Change ◽  
Policy Instruments ◽  
Market Failures ◽  
Policy Makers ◽  
Economic Behaviour ◽  
Behavioural Insights ◽  
Wide Range

At its best, economics can help policy-makers to design policies that resolve a wide range of economic and financial problems, for individuals and economies as a whole. ‘Economic behaviour and public policy’ explores some key insights and evidence from behavioural public policy, particularly microeconomic policy. Instead of examining market failures, behavioural public policy looks at behaviour change—changing the way that people make their everyday decisions and choices by nudging them towards more efficient and productive decision-making. The future for behavioural public policy is promising. Policy-makers need to look carefully at how policies based around behavioural insights can be used to complement rather than replace conventional economic policy instruments.

GENCRIT: A tool for knowledge-based critiquing in engineering design

1994 ◽  
Vol 8 (3) ◽  
pp. 239-259 ◽  
Author(s):  
H. Shiva Kumar ◽  
S. Suresh ◽  
C. S. Krishnamoorthy ◽  
Steven J. Fenves ◽  
S. Rajeev
Keyword(s):  
Decision Making ◽  
Reinforced Concrete ◽  
Engineering Design ◽  
Design Process ◽  
Rapid Development ◽  
Integrated Approach ◽  
Knowledge Based ◽  
Wide Range ◽  
Decision Making Model

AbstractThis article poses the notion that it is possible and desirable to formalize and apply design critiques in a specialized framework. It describes GENCRIT, (GENeric CRItiquing Tool), one such framework for design critiquing. The article starts by highlighting the role of critics in the design process. It then goes on to bring out the need for a critic building tool, viz. that of aiding in the rapid development of multiple critics. GENCRIT combines knowledge-based techniques and a multifactor decision making model to develop an integrated approach to evaluation that encompasses a wide range of designs. Critics developed using GENCRIT evaluate candidate designs based on the critiquing knowledge provided by experts, give justifications for the evaluation, and suggest improvements. The working of GENCRIT is illustrated with two examples: a constructibility critic for reinforced concrete buildings and a bridge design critic.

scholarly journals Barriers to Equitable Public Participation in Health-System Priority Setting Within the Context of Decentralization: The Case of Vulnerable Women in a Ugandan District

2020 ◽  
Author(s):  
S. Donya Razavi ◽  
Lydia Kapiriri ◽  
Julia Abelson ◽  
Michael Wilson
Keyword(s):  
Decision Making ◽  
Health System ◽  
Public Participation ◽  
Priority Setting ◽  
Decision Makers ◽  
Qualitative Description ◽  
Knowledge Based ◽  
Women's Participation ◽  
Healthcare Decision Making ◽  
Tororo District

Background: Decentralization of healthcare decision-making in Uganda led to the promotion of public participation. To facilitate this, participatory structures have been developed at sub-national levels. However, the degree to which the participation structures have contributed to improving the participation of vulnerable populations, specifically vulnerable women, remains unclear. We aim to understand whether and how vulnerable women participate in health-system priority setting; identify any barriers to vulnerable women’s participation; and to establish how the barriers to vulnerable women’s participation can be addressed. Methods: We used a qualitative description study design involving interviews with district decision-makers (n=12), sub-county leaders (n=10), and vulnerable women (n=35) living in Tororo District, Uganda. Data was collected between May and June 2017. The analysis was conducting using an editing analysis style. Results: The vulnerable women expressed interest in participating in priority setting, believing they would make valuable contributions. However, both decision-makers and vulnerable women reported that vulnerable women did not consistently participate in decision-making, despite participatory structures that were instituted through decentralization. There are financial (transportation and lack of incentives), biomedical (illness/disability and menstruation), knowledge-based (lack of knowledge and/or information about participation), motivational (perceived disinterest, lack of feedback, and competing needs), socio-cultural (lack of decision-making power), and structural (hunger and poverty) barriers which hamper vulnerable women’s participation. Conclusion: The identified barriers hinder vulnerable women’s participation in health-system priority setting. Some of the barriers could be addressed through the existing decentralization participatory structures. Respondents made both short-term, feasible recommendations and more systemic, ideational recommendations to improve vulnerable women’s participation. Integrating the vulnerable women’s creative and feasible ideas to enhance their participation in health-system decision-making should be prioritized.

scholarly journals Model Study of Decision Support System for Water Management

2020 ◽  
Vol 184 ◽  
pp. 01119
Author(s):  
S. Venkatcharyulu ◽  
Dr.G.K. Viswanadh
Keyword(s):  
Water Management ◽  
Decision Making ◽  
Decision Support ◽  
Literature Review ◽  
Support System ◽  
Policy Makers ◽  
Model Study ◽  
Decision Making System ◽  
Computer Based ◽  
Journal Papers

Decision making system (DSS ) is Integrated , interacting tool with information which provide solutions or answers to the policy makers , Dss users, End users to make quick and useful decision. In this paper it is reviewed Dss model based journal papers and presented various model functionality and description of methodology that are used. It is also discussed about literature review of that papers. Most of the water resources journal papers are published on various approaches are based on Software used decision making. Dss in Inida is required for the water management and hydropower management. Several papers published GIS based decision making and papers emphasis on computer based decision making. Quick review of Dss with few number (14) reviewed and presented in this paper.

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