Combining Semantic Web Technologies and Rule-Based Systems for Building Advanced Medical Applications

Podgorelec, Vili; Gradišnik, Mitja

doi:10.1007/978-3-642-34010-9_21

Cited by 1 publication

(7 citation statements)

References 8 publications

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“…(iv) Developed a prototype that generates the desired reports using a high degree of data integration and discussed a production rule-based approach to establish a link between prevalent diseases and the range of the diseases in a particular gene [64].…”

Section: E-healthcare Servicementioning

confidence: 99%

“…(ix) e prior literature still cannot seem to distinguish ways to improve the similarity score between service parameters using statistics-based strategies and natural language processing techniques [64]. (x) Any previous studies on the Internet of ings domain did not consider the semantic interoperability assessment between healthcare data, services, and applications [65].…”

Section: E-healthcare Servicementioning

confidence: 99%

“…What steps should be taken to ensure that clinical processes are validated [58]? (ix) What strategies and techniques can healthcare organizations use to increase similarity scores between service parameters [64]? (x) How can semantic interoperability between healthcare data, services, and applications be assessed in the context of the Internet of ings [65]?…”

Section: Scope Of Regulatory Condition Researchmentioning

confidence: 99%

“…Another group of e-healthcare service studies focused on how current electronic information and communication technology could help people's health and healthcare [46,49,50,[61][62][63][64]97]. Most of the authors used a WSMO (Web Service Modeling Ontology) service delivery platform and an automatic alignment of user-defined EHR (electronic health record) workflows, where service owners can register a service, and the system will automate prefiltering, discovery, composition, ranking, and invocation of that service to provide healthcare.…”

Section: E-healthcarementioning

confidence: 99%

“…Various systems for medical education were developed using Semantic Web technologies such as a web service delivery system [ 4 ], a web service searching system [ 61 ], and an e-learning framework for the patients to learn about different medical information [ 62 , 63 ]. Some articles discussed the rule-based approaches for the advancement of medical applications [ 64 , 65 ]. Quality assurance of Semantic Web services is necessary, and so a framework was created using a Semantic Web-based replacement policy to assure the quality of a set of services and replace it with a newly defined subset of services when the existing one fails in execution [ 3 ].…”

Section: Analysis Of the Selected Articles: Thematic Areasmentioning

confidence: 99%

See 4 more Smart Citations

Semantic Web in Healthcare: A Systematic Literature Review of Application, Research Gap, and Future Research Avenues

Haque

Arifuzzaman

Siddik

et al. 2022

International Journal of Clinical Practice

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Today, healthcare has become one of the largest and most fast-paced industries due to the rapid development of digital healthcare technologies. The fundamental thing to enhance healthcare services is communicating and linking massive volumes of available healthcare data. However, the key challenge in reaching this ambitious goal is letting the information exchange across heterogeneous sources and methods as well as establishing efficient tools and techniques. Semantic Web (SW) technology can help to tackle these problems. They can enhance knowledge exchange, information management, data interoperability, and decision support in healthcare systems. They can also be utilized to create various e-healthcare systems that aid medical practitioners in making decisions and provide patients with crucial medical information and automated hospital services. This systematic literature review (SLR) on SW in healthcare systems aims to assess and critique previous findings while adhering to appropriate research procedures. We looked at 65 papers and came up with five themes: e-service, disease, information management, frontier technology, and regulatory conditions. In each thematic research area, we presented the contributions of previous literature. We emphasized the topic by responding to five specific research questions. We have finished the SLR study by identifying research gaps and establishing future research goals that will help to minimize the difficulty of adopting SW in healthcare systems and provide new approaches for SW-based medical systems’ progress.

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Section: E-healthcare Servicementioning

confidence: 99%

Section: E-healthcare Servicementioning

confidence: 99%