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A methodology for classifying the complexity of expert systems

M. H. Meyer, K. F. Curley
1989 Proceedings of the tenth international conference on Information Systems - ICIS '89  
The focus of this paper is to present a classification methodology for evaluating the complexity of expert systems.  ...  The classification methodology was developed and tested for its ability to accurately differentiate expert systems with a pilot sample of six expert systems.  ...  CLINT is an example of such a elements of this information are often uncertain, requiring system because it is domain-intensive but technologically that the expert and, by extension, the expert system  ... 
doi:10.1145/75034.75038 dblp:conf/icis/MeyerC89 fatcat:jncrsgfb7zhqpok6e7cqsrlzyy

A distributed clinical decision support system architecture

Shaker H. El-Sappagh, Samir El-Masri
2014 Journal of King Saud University: Computer and Information Sciences  
The system will also have a set of distributed knowledge bases.  ...  This technical architecture takes advantage of Electronic Health Record (EHR), data mining techniques, clinical databases, domain expert knowledge bases, available technologies and standards to provide  ...  Acknowledgement This study is part of a research project funded by the National Plan for Science and Technology (NPST)  ... 
doi:10.1016/j.jksuci.2013.03.005 fatcat:hznx7hdh3ra2tnpzrst7ba23ci

The Development of CCAM: The New French Coding System of Clinical Procedures

Beatrice Trombert-Paviot, Alan Rector, Robert Baud, Pieter Zanstra, Caroline Martin, Egbert van der Haring, Lucienne Clavel, Jean Marie Rodrigues
2003 Health Information Management Journal  
An economic evaluation of clinical procedures was also undertaken for the rating for fee-forservice payment.  ...  Two methodologies were used: a traditional domainexperts consensus method, and an artificial-intelligence-based semantic representation.  ...  domain-experts, and an artificialintelligence-based semantic representation, GALEN.  ... 
doi:10.1177/183335830303100103 pmid:19468141 fatcat:tfuygf6xxfctjno6oazcfz3be4

Knowledge Based Systems [chapter]

2017 Encyclopedia of GIS  
While the intellectual roots of this method go back to the late 1960's, the ideas were rst codi ed, systematized and simpli ed in the 1970's, and have led to a large and successful expert systems industry  ...  Embedding knowledge is a popular and e ective means of increasing the power of sophisticated computer applications.  ...  Eventually, every interesting advance at the roots of AI research feeds directly into better experimental expert systems, and nally into applications.  ... 
doi:10.1007/978-3-319-17885-1_100645 fatcat:6qyecktmgfdqtbvzpdbndardba

Integrated expert system applied to the analysis of non-technical losses in power utilities

Carlos León, Félix Biscarri, Iñigo Monedero, Juan I. Guerrero, Jesús Biscarri, Rocío Millán
2011 Expert systems with applications  
the customer estimate consumption, and the Rule Based Expert System module to analyze each customer using the results of the text and data mining modules.  ...  In this paper, an integrated expert system (IES) for the analysis and classification of all the available useful information of the customer is presented.  ...  Besides, it uses a set of parameters (from the domain experts) to classify the customers based on the problems they face. These rules are derived from the inspectors and the Endesa staff.  ... 
doi:10.1016/j.eswa.2011.02.062 fatcat:ymkmh72naveihi6vrmcvl5qece

Data Mining in Hospital Information System [chapter]

Jing-Song Li, Hai-Yan Yu, Xiao-Guang Zhang
2011 New Fundamental Technologies in Data Mining  
The emphasis of data mining is on an implementation of a general approach to rule based decision-making.  ...  The best example of this type of www.intechopen.com Data Mining in Hospital Information System 149 application is to determine association rules.  ... 
doi:10.5772/14052 fatcat:pwoqc3v3p5henm2cqrbzjju7cq

Extracting principal diagnosis, co-morbidity and smoking status for asthma research: evaluation of a natural language processing system

Qing T Zeng, Sergey Goryachev, Scott Weiss, Margarita Sordo, Shawn N Murphy, Ross Lazarus
2006 BMC Medical Informatics and Decision Making  
Methods The principal diagnosis, co-morbidity and smoking status extracted by HITEx from a set of 150 discharge summaries were compared to an expert-generated gold standard.  ...  The text descriptions in electronic medical records are a rich source of information.  ...  of Medicine researchers are examples of medical NLP systems.  ... 
doi:10.1186/1472-6947-6-30 pmid:16872495 pmcid:PMC1553439 fatcat:r7g6wwfuwjguxdmskkoav6eime

Expert system dedicated to condition-based maintenance based on a knowledge graph approach: Application to an aeronautic system

Alexandre Sarazin, Jérémy Bascans, Jean-Baptiste Sciau, Jiefu Song, Bruno Supiot, Aurélie Montarnal, Xavier Lorca, Sébastien Truptil
2021 Expert systems with applications  
An application to an aircraft system will be used as case study to illustrate the process and performance of this solution for anomaly detection and diagnostics.  ...  Conversely, Expert Systems (ES) do not have these restrictions but should be used on systems with available expert knowledge and are currently suffering from efficiency, scalability and applicability limits  ...  Acknowledgments All authors approved the version of the manuscript to be published.  ... 
doi:10.1016/j.eswa.2021.115767 fatcat:djngywhvlrbanpcwbql66oa33e

Applicability of Usability Evaluation Techniques to Aviation Systems

Michael Clamann, David B. Kaber
2004 The International journal of aviation psychology  
Some are empirical; others require the support of a usability expert, and some are best performed by groups. Ideally, these methods are applied dur-  ...  This article identifies the special requirements of the aviation domain that will affect a usability evaluation and the characteristics of evaluation methods that may make them effective in this context  ...  Model-based evaluation techniques, such as Goals, Operators, Methods, and Selection rules (GOMS), use models of the user to predict performance on specific tasks using an interface (Virzi, 1997) .  ... 
doi:10.1207/s15327108ijap1404_4 fatcat:njzvkrbkhbel3b5b5lpp24pola

Data and Mined-Knowledge Interoperability in eHealth Systems [chapter]

Kamran Sartipi, Mehran Najafi, Reza S.
2008 Data Mining in Medical and Biological Research  
Examples of such globalized systems include: communication systems, banking systems, air traffic systems, transportation systems, and healthcare systems.  ...  The structure of this chapter is as follows: Section 2 presents the application of data mining in healthcare. Section 3 introduces different forms of knowledge representations in medical domain.  ...  The basic components of a CDSS include a dynamic (medical) knowledge base and an inference mechanism (usually a set of rules derived from the experts and evidence-based medicine) and implemented through  ... 
doi:10.5772/6413 fatcat:yg6pwkesjnbzbaeb5fcf6k7lvy

Role of Knowledge Engineering in the Development of a Hybrid Knowledge Based Medical Information System for Atrial Fibrillation

Aankita Kaur, Mansaf Alam
2013 American Journal of Industrial and Business Management  
The hybrid medical information system mainly consists of medical information system and medical knowledge base systems.  ...  In this paper, we are describing role of knowledge engineering in the development of a hybrid knowledge based medical information system.  ...  These are the steps how an expert system works from knowledge retrieval by experts to finally integrating it into knowledge base systems of various Atrial Fibrillation problems.  ... 
doi:10.4236/ajibm.2013.31005 fatcat:3nibtjtxwzb5fjtsjcql34ivgu

FairLens: Auditing Black-box Clinical Decision Support Systems [article]

Cecilia Panigutti, Alan Perotti, Andrè Panisson, Paolo Bajardi, Dino Pedreschi
2020 arXiv   pre-print
those in need of expert evaluation.  ...  The detection and mitigation of biased models is a very delicate task which should be tackled with care and involving domain experts in the loop.  ...  Finally, additional experiments to generate counterfactual examples will be implemented to increase FairLens adoption from domain experts. BB Fig. 2 . 2 Normalized disparity scores vs. group sizes.  ... 
arXiv:2011.04049v1 fatcat:tjb6g4bjpvbn5hevultp34zeoq

TELESUP - Textual Self-Learning Support Systems

Sebastian Furth, Joachim Baumeister
2014 Lernen, Wissen, Daten, Analysen  
The regular improvement and adaptation of an ontology is a key factor for the success of an ontology-based system.  ...  The approach makes heavy use of methods known in natural language processing and information extraction.  ...  Acknowledgments The work described in this paper is supported by the Bundesministerium für Wirtschaft und Energie (BMWi) under the grant ZIM KF2959902BZ4 "SELE-SUP -SElf-LEarning SUPport Systems".  ... 
dblp:conf/lwa/FurthB14 fatcat:crbg4ar7uvdq7moruqn7ygzs7q

Artificial Intelligence and Knowledge Based Systems: Origins, Methods and Opportunities for NDE [chapter]

Robert S. Engelmore
1987 Review of Progress in Quantitative Nondestructive Evaluation  
EXAMPLES OF EXPERT SYSTEMS MYCIN is a rule-based system for medical diagnosis and therapy . It was developed at Stanford about twelve years ago.  ...  An important spinoff of the MYCIN effort was EMYCIN, the first tool for building rule-based expert systems.  ... 
doi:10.1007/978-1-4613-1893-4_1 fatcat:htruispfgbboljhdgj5xmrrvfa

Gsm Based Smart Patient Monitoring System

Ayman M. Mansour
2015 Zenodo  
In this paper, we propose an intelligent system that is used for monitoring the health conditions of patients.  ...  The ability of making medical decisions, the quality of medical is expected to be improved.  ...  Fuzzy logic is useful especially when a mathematical model of a system is not available and rules of the thumb from domain experts are available.  ... 
doi:10.5281/zenodo.1099543 fatcat:ehsikfknbvalroaajbdrvk2eam
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