Decision-making laboratory computer systems as essential tools for achievement of total quality

1997 ◽  
Vol 43 (5) ◽  
pp. 908-912 ◽  
Author(s):  
Kenneth E Blick

Abstract Areas other than the analytical process should be the focus of concern about quality issues in the laboratory because nearly 95% of errors occur at the nonanalytical front and back ends of the testing process. Until now, computer systems have been designed to handle the more predictable aspects of laboratory testing, necessitating that the infrequent and unpredictable data events be handled by manual systems. The manual systems are termed “workarounds” and indeed, because they occur sporadically, they are frequently not handled predictably. Here, I describe and give examples of an expert laboratory computer system that can be designed to handle both predictable and unpredictable data events without the use of manual workarounds. This expert system works in concert with a dynamic database allowing such data events to be detected in real time and handled predictably, thus providing a tool to address quality assurance issues throughout the testing process. The system performs up to 31 separate actions or tasks based on data events that in the past were handled by human workarounds.

Author(s):  
Syahrizal Dwi Putra ◽  
M Bahrul Ulum ◽  
Diah Aryani

An expert system which is part of artificial intelligence is a computer system that is able to imitate the reasoning of an expert with certain expertise. An expert system in the form of software can replace the role of an expert (human) in the decision-making process based on the symptoms given to a certain level of certainty. This study raises the problem that many women experience, namely not understanding that they have uterine myomas. Many women do not understand and are not aware that there are already symptoms that are felt and these symptoms are symptoms of the presence of uterine myomas in their bodies. Therefore, it is necessary for women to be able to diagnose independently so that they can take treatment as quickly as possible. In this study, the expert will first provide the expert CF values. Then the user / respondent gives an assessment of his condition with the CF User values. In the end, the values obtained from these two factors will be processed using the certainty factor formula. Users must provide answers to all questions given by the system in accordance with their current conditions. After all the conditions asked are answered, the system will display the results to identify that the user is suffering from uterine myoma disease or not. The Expert System with the certainty factor method was tested with a patient who entered the symptoms experienced and got the percentage of confidence in uterine myomas/fibroids of 98.70%. These results indicate that an expert system with the certainty factor method can be used to assist in diagnosing uterine myomas as early as possible.


2010 ◽  
Vol 09 (06) ◽  
pp. 873-888 ◽  
Author(s):  
TZUNG-PEI HONG ◽  
CHING-YAO WANG ◽  
CHUN-WEI LIN

Mining knowledge from large databases has become a critical task for organizations. Managers commonly use the obtained sequential patterns to make decisions. In the past, databases were usually assumed to be static. In real-world applications, however, transactions may be updated. In this paper, a maintenance algorithm for rapidly updating sequential patterns for real-time decision making is proposed. The proposed algorithm utilizes previously discovered large sequences in the maintenance process, thus greatly reducing the number of database rescans and improving performance. Experimental results verify the performance of the proposed approach. The proposed algorithm provides real-time knowledge that can be used for decision making.


1993 ◽  
Vol 26 (3) ◽  
pp. 76-79
Author(s):  
R Clarke ◽  
F Humphries

Nuclear Electric have commissioned Ferranti International to develop a replacement system for their on-line computer systems in earlier AGR power stations. This system represents a step forward both in software and performance and takes advantage of investment made for military use in the Ada Language, CASE tools and a high-performance real-time relational database.


Author(s):  
Mariusz Pelc ◽  
Dawid Galus

Nowadays, information/data security and availability are of utmost importance. However, due to the fact that security is a process rather than a state, there is an increasing demand for technologies or architectural solutions that would allow a computer system to adjust its level of security in response to changes in its environmental/network characteristics. In this paper, an architecture for a self-managing adaptive router/firewall has been proposed to facilitate an intelligent and real-time self-protection of a computer system. We also show how the proposed architecture might be used to control other system mechanisms or resources (for example, RAM).


Author(s):  
Amalia Agathou ◽  
Theodoros Tzouramanis

Over the past few years, the Internet has changed computing as we know it. The more possibilities and opportunities develop, the more systems are subject to attack by intruders. Thus, the big question is about how to recognize and handle subversion attempts. One answer is to undertake the prevention of subversion itself by building a completely secure system. However, the complete prevention of breaches of security does not yet appear to be possible to achieve. Therefore these intrusion attempts need to be detected as soon as possible (preferably in real time) so that appropriate action might be taken to repair the damage. This is what an intrusion detection system (IDS) does. IDSs monitor and analyze the events occurring in a computer system in order to detect signs of security problems. However, intrusion detection technology has not yet reached perfection. This fact has provided data mining with the opportunity to make several important contributions and improvements to the field of IDS technology (Julisch, 2002).


Author(s):  
Matthew N. O. Sadiku ◽  
Yonghui Wang ◽  
Suxia Cui ◽  
Sarhan M. Musa

Expert systems are one of the most exciting and promising applications of computers. An expert system (ES) is an intelligent computer system that contains an organized body of knowledge and emulates an expert problem solving skills. It is designed to emulate the decision-making ability of a human expert. This paper provides a primer on expert systems, their features, applications, benefits, and challenges.


1992 ◽  
Vol 38 (1) ◽  
pp. 83-87 ◽  
Author(s):  
P M Valdiguié ◽  
E Rogari ◽  
H Philippe

Abstract In large laboratories that use "high-throughput" equipment, it is now possible to use artificial intelligence techniques to aid decision making and validation of data. This paper describes an artificial intelligence project, VALAB, that has been carried out in our laboratory. VALAB, an expert system that permits real-time validation of data, is designed to be equivalent to validation by the laboratory director. The decision produced by the expert system is based on several factors, including correlation between repeated laboratory results, physiological association between different variables, the hospital department from which the test was ordered, and the patient's age and sex. In 200 abnormal chemistry profiles randomly selected, VALAB's ability to detect abnormal cases (i.e., sensitivity = 0.75) was exceeded by only one of seven laboratory experts. However, all seven experts outperformed VALAB's measured specificity of 0.63. The VALAB system incorporates greater than 4000 rules. Operational since November 1988, it has validated greater than 50,000 medical patients' reports in real time.


Author(s):  
Osevaldo Farias ◽  
Sofiane Labidi ◽  
Joao Fonseca ◽  
Jose Moura ◽  
Samy Albuquerque

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