A Rule-Based Clinical Decision Model to Support Interpretation of Multiple Data in Health Examinations

Kuo, Kuan-Liang; Fuh, Chiou-Shann

doi:10.1007/s10916-009-9413-3

Cited by 21 publications

(12 citation statements)

References 20 publications

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“…Improvement of health information systems is the first step in progressive health system management capabilities. The healthcare decision makers at every managerial level should gain maximum benefit from information to be capable of making precise data-based decisions and policies, and meeting managerial requirements of healthcare service providers ( Kuo & Fuh, 2011 ; Safdari et al, 2012 , 2013a , 2013b ).…”

Section: Discussionmentioning

confidence: 99%

Implementation of Hepatitis Information Management System in Iran

Reza

Farzi²,

Akbar³

et al. 2015

GJHS

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Introduction:Nowadays, hepatitis is of the most important health priorities around the world, where information plays a very significant role in specialized diseases prevention planning, and policy- and decision-making processes. Thus, this study addressed challenges of hepatitis information management and investigated the outcomes of establishing a hepatitis information management system to overcome such challenges. To this end, this research intended to study the implementation of an Electronic hepatitis information management system.Methodology:This is an applied-developmental study with following specifications and procedures: preparation of study proposal and design, justification of the design’s stakeholders, approval of the design by the Postgraduate Education Council of Faculty, determination of pilot hepatitis control center, software development, deciding on control, prevention, and treatment centers, and finally development of a network-based system for collecting and managing hepatitis information.Findings:Results indicated that the inconsistency and lack of integrity of data, as well as the lack of communication between related units prevented timely information register of viral hepatic patients and services that are provided to them. This inhibited the possibility of considering a follow-up process. However, the implementation of this system and involvement of relevant units greatly solved these problems.Conclusion:Results show that the implementation of an electronic system for the management of hepatitis control, prevention, and treatment is a regional and national requirement; since, this system with its empowered infrastructure is capable in providing desired services to all laboratories, counseling and health centers, specialized clinics, and physicians connected to the hepatitis network. This enables them to follow up and monitor patients’ conditions. That mentioned system paves the way for the analysis of gathered information, managers’ and specialists’ access in different regions to the data for making appropriate and accurate decisions.

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Section: Discussionmentioning

confidence: 99%

Implementation of Hepatitis Information Management System in Iran

Reza

Farzi²,

Akbar³

et al. 2015

GJHS

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“…One of the most important phases of the development of a knowledge-based system is the development of a domain ontology [37]. From this perspective, this platform uses the AgriEnt-Ontology to represent knowledge about crops, diseases, symptoms, insects, insect pests, and treatment recommendations.…”

Section: Agrient-ontologymentioning

confidence: 99%

AgriEnt: A Knowledge-Based Web Platform for Managing Insect Pests of Field Crops

et al. 2020

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In the agricultural context, there is a great diversity of insects and diseases that affect crops. Moreover, the amount of data available on data sources such as the Web regarding these topics increase every day. This fact can represent a problem when farmers want to make decisions based on this large and dynamic amount of information. This work presents AgriEnt, a knowledge-based Web platform focused on supporting farmers in the decision-making process concerning crop insect pest diagnosis and management. AgriEnt relies on a layered functional architecture comprising four layers: the data layer, the semantic layer, the web services layer, and the presentation layer. This platform takes advantage of ontologies to formally and explicitly describe agricultural entomology experts’ knowledge and to perform insect pest diagnosis. Finally, to validate the AgriEnt platform, we describe a case study on diagnosing the insect pest affecting a crop. The results show that AgriEnt, through the use of the ontology, has proven to produce similar answers as the professional advice given by the entomology experts involved in the evaluation process. Therefore, this platform can guide farmers to make better decisions concerning crop insect pest diagnosis and management.

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“…Among them, production rules are extensively used in medical domain and resemble as a good starting point for real-life understanding of the expert systems [21]. Since 1970s, rule-based knowledge representation is being used in many medical expert systems such as MYCIN, PUFF, CMDS [22], and so on [23]. Sometimes, production rules have been associated with some probabilistic measures to deal with uncertainties in medical knowledge.…”

Section: Background Studymentioning

confidence: 99%

Medical expert system for low back pain management: design issues and conflict resolution with Bayesian network

Santra

Mandal

Basu

et al. 2020

Med Biol Eng Comput

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Aiming at developing a medical expert system for low back pain management, the paper proposes an efficient knowledge representation scheme using frame data structures, and also derives a reliable resolution logic through Bayesian Network. When a patient comes to the intended expert system for diagnosis, the proposed inference engine outputs a number of probable diseases in sorted order, with each disease being associated with a numeric measure to indicate its possibility of occurrence. When two or more diseases in the list have the same or closer possibility of occurrence, Bayesian Network is used for conflict resolution. The proposed scheme has been validated with cases of empirically selected thirty patients. Considering the expected value 0.75 as level of acceptance, the proposed system offers the diagnostic inference with the standard deviation of 0.029. The computational value of Chi-Squared test has been obtained as 11.08 with 12 degree of freedom, implying that the derived results from the designed system conform the homogeneity with the expected outcomes. Prior to any clinical investigations on the selected low back pain patients, the accuracy level (average) of 73.89% has been achieved by the proposed system, which is quite close to the expected clinical accuracy level of 75%.

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A Rule-Based Clinical Decision Model to Support Interpretation of Multiple Data in Health Examinations

Cited by 21 publications

References 20 publications

Implementation of Hepatitis Information Management System in Iran

Implementation of Hepatitis Information Management System in Iran

AgriEnt: A Knowledge-Based Web Platform for Managing Insect Pests of Field Crops

Medical expert system for low back pain management: design issues and conflict resolution with Bayesian network

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