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Showing 1 to 17 of 17 for “"SNOMED CT"”.
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Data mining occurrences of infectious diseases with SNOMED CT
Synonyms within SNOMED CT’s structure give meaning to the clinical terminology. The hypothesis in this thesis is that the number of synonyms of a disease within SNOMED CT can be used to predict the number of occurrences of an infectious disease reported on by the World Health Organization (WHO). …
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Structural indicators for effective quality assurance of snomed ct
… Nomenclature of Medicine -- Clinical Terms (SNOMED CT -- further abbreviated as SCT) has been endorsed as a premier clinical terminology by many national and international organizations. The US Government has chosen SCT to play a significant role in its initiative to promote Electronic Health …
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Development and evaluation of methods for structured recording of heart murmur findings using SNOMED CT® post-coordination
Objective: Structured recording of examination findings, such as heart murmurs, is important for effective retrieval and analysis of data. Our study proposes two models for post-coordinating murmur findings and evaluates their ability to record murmurs found in clinical records. Methods: Two models …
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Development of an ontology of animals in context within the OBO Foundry framework from a SNOMED-CT extension and subset
… stage, living environment and role in production systems such as farms. Ontologies are created and used for defining, organizing and classifying information in a domain to enable learning and sharing of information. This work develops an ontology of animal classes that form the basis for …
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Considerations for Automating Salmonella Serovar Identification within an Electronic Public Health Reporting Environment
… Nomenclature of Medicine-Clinical Terms (SNOMED CT®). Translating the serotype formula of a Salmonella isolate to the correct identifier has been a multistep manual process for users. Our goal was to determine whether a degree of automation could be achieved using an ontology based on K-W. …
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Designing novel abstraction networks for ontology summarization and quality assurance
… interoperability of medical systems, and Electronic Healthcare Record (EHR) encoding. Ontologies represent knowledge using concepts (entities) linked by relationships. Ontologies may contain hundreds of thousands of concepts and millions of relationships. For users, the size and complexity of …
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Using structural and semantic methodologies to enhance biomedical terminologies
… various Health Information Systems (HISs), Electronic Health Record (EHR) Systems, Health Information Exchanges (HIEs) and health administrative systems. Moreover, the proliferation of interdisciplinary research efforts in the biomedical field is fueling the need to overcome terminological …
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Classification of Clinical Tweets Using Apache Mahout
… a new tool called Clinical Tweets Classifier (CTC) to enable scalable classification of clinical content on Twitter. CTC uses Apache Mahout, and in addition to keywords and hashtags in the tweets, it also leverages the SNOMED CT clinical terminology and a new tweet influence scoring scheme to …
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A perioperative medicine clinical decision support system: foundation, design, development, evaluation, and the standards
Abstract 1:Introduction and Background: Decisions regarding medication management during the perioperative period are often made based on clinical anecdotes and vary by provider. Clinical decision support (CDS) tools aid physicians with decision making tasks at the point of care. We have developed …
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Annotation of clinical datasets using composite information models
… their association with machine readable constructs. The purpose of the process is to expose clinical information held in the datasets to automated agents in a structured format that facilitates and accelerates processes like document comparison, search or decision support. Numerous annotation …
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Polynomial-Time Reasoning Support for Design and Maintenance of Large-Scale Biomedical Ontologies
… investigates various reasoning techniques for tractable DLs in the EL family which have been implemented in the CEL system. It suggests that the use of the lightweight DLs, in which reasoning is tractable, is beneficial for ontology design and maintenance both in terms of expressivity and …
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ACLRO: An Ontology for the Best Practice in ACLR Rehabilitation
… conceptualizations is possible, similar to SNOMED-CT. Nevertheless, SNOMED-CT mainly focuses on electronic health record (EHR) documenting and evidence-based practice. Moreover, due to its independence on data quality, the ontology enhances advanced AI technologies, such as machine learning …
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Developing The Language And Tools To Address Food Insecurity
… interventions to address it, and study the effect of interventions in individual and population settings. Furthermore, there is no published food insecurity diagnostic criteria to employ as clinicians listen to the histories of their patients and try to support them in being well. This project …
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Extensions of SNOMED taxonomy abstraction networks supporting auditing and complexity analysis
… Nomenclature of Medicine -- Clinical Terms (SNOMED CT) has been widely used as a standard terminology in various biomedical domains. The enhancement of the quality of SNOMED contributes to the improvement of the medical systems that it supports. In previous work, the Structural Analysis of …
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Towards answering unanswerable questions: data augmentation for enhanced medical domain question answering
… information in relational databases known as Electronic Health Records (EHRs). Exist ing EHRs have filter and search options on the front end that are converted to SQL queries at the back end. However, these search and filter options become cumbersome when querying the EHR. While users could …
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Biomedical data retrieval utilizing textual data in a gene expression database by Richard Lu, MD.
… because the textual information is unstructured and difficult to query. Rendering this information in a structured format utilizing standard medical terms would facilitate better searching and data reuse. Such a procedure would significantly increase the clinical utility of biomedical data …