scholarly journals PROCEDURE OF ASSESSING CREDIBILITY TO THE EXPERT IN TERMS OF THE PROBLEM OF AGE CATEGORIZATION OF WEB CONTENT

2019 ◽  
pp. 86-97
Author(s):  
Valery Vladimirovich Davidyuk ◽  
Askhat Zulpukharovich Baitumenov ◽  
Valeriya Andreevna Gostyunina ◽  
Nadezhda Valerievna Daviduk
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Quantitative Assessment ◽  
Computational Experiment ◽  
Human Factor ◽  
Web Content ◽  
Web Resource ◽  
Expert Assessments ◽  
Key Indicators ◽  
Feedback Coefficient

Currently the solution of a set of tasks is impossible without using expert procedures. At the same time, some of them require the involvement of the great number of experts, increasing the probability of human factor errors, fabrication and falsification of expert assessments. There has been suggested the method of obtaining the quantitative assessment of the degree of trust to experts, which allows to improve the quality and accuracy of the expert procedures. The developed method helps to consider both the established reputation of the expert and his reaction in the course of the expertise. The description and examples of calculations of key indicators involved in the formation of the expert's feedback coefficient (in applying one of the most common expert methods - a survey), such as: duration of filling/answering a question, time difference between answers to the related questions, availability of incorrect answers to trap questions. The adequacy of the method has been confirmed by the results of the computational experiment conducted in a group of 20 experts solving the problem of web resource age categorization. The developed method is amenable to further algorithmization and can be applied in decision support systems for various purposes.

Assigning Value to Clinical Information – A Major Limiting Factor in the Implementation of Decision-Support Systems

1996 ◽  
Vol 35 (01) ◽  
pp. 1-4 ◽  
Author(s):  
F. T. de Dombal
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Clinical Information ◽  
Limiting Factor ◽  
Major Difficulty ◽  
Computer Aided ◽  
Computer Aided Decision

AbstractThis paper deals with a major difficulty and potential limiting factor in present-day decision support - that of assigning precise value to an item (or group of items) of clinical information. Historical determinist descriptive thinking has been challenged by current concepts of uncertainty and probability, but neither view is adequate. Four equations are proposed outlining factors which affect the value of clinical information, which explain some previously puzzling observations concerning decision support. It is suggested that without accommodation of these concepts, computer-aided decision support cannot progress further, but if they can be accommodated in future programs, the implications may be profound.

Architectures for Architects

1993 ◽  
Vol 32 (01) ◽  
pp. 12-13 ◽  
Author(s):  
M. A. Musen
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Clinical Decision Support ◽  
Support Systems ◽  
Clinical Decision Support Systems ◽  
Clinical Decision ◽  
Design And Development

Abstract:Response to Heathfield HA, Wyatt J. Philosophies for the design and development of clinical decision-support systems. Meth Inform Med 1993; 32: 1-8.

Characterizing Decision Support Telemedicine Systems

2006 ◽  
Vol 45 (05) ◽  
pp. 523-527 ◽  
Author(s):  
A. Abu-Hanna ◽  
B. Nannings
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Clinical Decision Support ◽  
Literature Search ◽  
Support Systems ◽  
Clinical Decision Support Systems ◽  
Clinical Decision ◽  
Problem Dimension ◽  
Process Dimension

Summary Objectives: Decision Support Telemedicine Systems (DSTS) are at the intersection of two disciplines: telemedicine and clinical decision support systems (CDSS). The objective of this paper is to provide a set of characterizing properties for DSTSs. This characterizing property set (CPS) can be used for typing, classifying and clustering DSTSs. Methods: We performed a systematic keyword-based literature search to identify candidate-characterizing properties. We selected a subset of candidates and refined them by assessing their potential in order to obtain the CPS. Results: The CPS consists of 14 properties, which can be used for the uniform description and typing of applications of DSTSs. The properties are grouped in three categories that we refer to as the problem dimension, process dimension, and system dimension. We provide CPS instantiations for three prototypical applications. Conclusions: The CPS includes important properties for typing DSTSs, focusing on aspects of communication for the telemedicine part and on aspects of decisionmaking for the CDSS part. The CPS provides users with tools for uniformly describing DSTSs.

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