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Semantic Doctor Assistant: An Ontology-based Disease Classification in Biomedicine
International Journal of Computer Applications, 2015
Human disease data is a cornerstone of biomedical research for diseases' classification and recommended treatments so; there is a significant need for a standardized representation of human diseases and an efficient algorithm for retrieving information from it. The Semantic Doctor Assistant (SDA) has been designed to help doctors to find proper information about a specific disease using semantic web technology rather than other simple keyword-based search. A preliminary usability study has been done to evaluate the system by measuring user's satisfaction through a statistical analysis of surveys. This study would measure the relevance of the information retrieved for each search query and how the system is important in the field of medicine and how it will help academic doctors in their research and non-academic doctors in their work.
The Use of Semantic Web Technology in the Diagnosis Internal Diseases
2019
Recent interest of web applications (semantic web) have increased , with the aim Of supporting Discovery and the formation of compatibility services. Therefore, this paper is A discussion of the application for This technology in The field Of bioinformatics , and witch Help the internal diseases doctors to Diagnose Properly And to reduce the selecting of Symptoms inappropriate for Those diseases ,our approach in this Research is how to Formalize the solution of a problem for particular disease even if it is difficult to find a Solution , we have used the tool (resource description framework) “RDF” in building the Database which in turn describes data content intelligently and understandable with use the Method (Psedocode) false code to the steps of solution. The paper also highlights some of the difficulties Facing the development of services (Semantic Web) and propose some experiments with Positive effects on the development of this project ,The most important results of this Resea...
Semantic Web: A Context for Medical Knowledge Discovering and Sharing
Iranian Journal of Medical Informatics
Background and Aim: This article will discuss Semantic Web standards and ontologies in two areas: (1) the research and (2) healthcare. Semantic Web standards are important in the medical sciences since much of the medical research that is available needs an avenue to be shared across disparate computer systems.Methods: This review article was performed based on a literature review and internet search through scientific databases such as PubMed, Scopus, Web of science and Google Scholar.Conclusion: Ontologies can provide a basis for the searching of context-based medical research information so that it can be integrated and used as a foundation for future research. The healthcare industry will be examined specifically in its use of electronic health records (EHR), which need Semantic Web standards to be communicated across different EHR systems. The increased use of EHRs across healthcare organizations will also require ontologies to support context-sensitive searching of information...
Health Informatics Journal, 2011
The number of health-related websites is increasing day-by-day; however, their quality is variable and difficult to assess. Various "trust marks" and filtering portals have been created in order to assist consumers in retrieving quality medical information. Consumers are using search engines as the main tool to get health information; however, the major problem is that the meaning of the web content is not machine-readable in the sense that computers cannot understand words and sentences as humans can. In addition, trust marks are invisible to search engines, thus limiting their usefulness in practice. During the last five years there have been different attempts to use Semantic Web tools to label health-related web resources to help internet users identify trustworthy resources. This paper discusses how Semantic Web technologies can be applied in practice to generate machine-readable labels and display their content, as well as to empower end-users by providing them with the infrastructure for expressing and sharing their opinions on the quality of healthrelated web resources.
State of the Art of Semantic Web for Healthcare
Procedia - Social and Behavioral Sciences, 2015
The ultimate goal to improve healthcare practices and the development of better biomedical products largely depends on the ability to share and link the wealth of collected medical data. The key challenge to pursue this ambitious objective is not only enabling the integration of the data spanning heterogeneous data sources and formats, but in the development of tools and standards for flexible search, data analytics and user friendly interfaces. In this paper we conduct an extensive survey on how Semantic Web is used to answer these challenges. First, we review ontology management and semantic data repositories for healthcare. Second, we conduct a survey on most representative applications and user-friendly viewers for semantic healthcare data. Third, we analyze the data mining and data analytics approaches used to find useful patterns and knowledge in these data. Finally, we discuss the positive effects of this synergy between Semantic Web and healthcare processes, and we identify some of the major remaining obstacles and research challenges in this area.
Application of Ontologies and Semantic Web Technologies in the Field of Medicine
2018
The complexity and diversity of knowledge and terminology of medical science is one of the main obstacles to successful interdisciplinary studies. Important data are difficult to find and to be selected mainly due to different formats, schemes and semantics they have. Extracting automatic knowledge from previous practices and past medical history is also very difficult due to the diversity of medical systems. This paper aims to present a solution to these problems by using ontologies and semantic web technologies. In this paper we intend to emphasize that the use of ontologies and semantic web technologies like RDF, OWL and SPARQL can provide the necessary semantics for a variety of medical domains and, moreover, can serve as tools for building innovative solutions technology to existing problems.
SemMed: Applying Semantic Web to Medical Recommendation Systems
2009 First International Conference on Intensive Applications and Services, 2009
The systematic method used to identify diseases is called differential diagnosis (DDx). It is mostly used by healthcare professionals to diagnose a specific disease in a patient. If the disease is diagnosed, the method could be used to recommend the medications in order to receive treatment. The goal of the current paper is to design a system based on Semantic Web Technologies to develop a system with the capability to assist healthcare professionals regarding the possible medication or drug to prescribe, according to following fundamental selection criteria.
MELISA: An ontology-based agent for information retrieval in medicine
Proceedings of the first international workshop …, 2000
Introduction and motivation In Internet, there are a lot of general-purpose search engines, witch goal is to retrieve web pages matching some criteria. In addition, there are also some professional engines which results are literature references: MedLine is a good example of this. It is a ...
An introduction to the Semantic Web for health sciences librarians
J Med Libr …, 2006
The paper (1) introduces health sciences librarians to the main concepts and principles of the Semantic Web (SW) and (2) briefly reviews a number of projects on the handling of biomedical information that uses SW technology. Methodology: The paper is structured into two main parts. ''Semantic Web Technology'' provides a high-level description, with examples, of the main standards and concepts: extensible markup language (XML), Resource Description Framework (RDF), RDF Schema (RDFS), ontologies, and their utility in information retrieval, concluding with mention of more advanced SW languages and their characteristics. ''Semantic Web Applications and Research Projects in the Biomedical Field'' is a brief review of the Unified Medical Language System (UMLS), Generalised Architecture for Languages, Encyclopedias and Nomenclatures in Medicine (GALEN), HealthCyberMap, LinkBase, and the thesaurus of the National Cancer Institute (NCI). The paper also mentions other benefits and by-products of the SW, citing projects related to them. Discussion and Conclusions: Some of the problems facing the SW vision are presented, especially the ways in which the librarians' expertise in organizing knowledge and in structuring information may contribute to SW projects.