Rob Wynden, Mark G Weiner, Ida Sim, Davera Gabriel, Marco Casale, Simona Carini, Shannon Hastings, David Ervin, Samson Tu, John H Gennari, Nick Anderson, Ketty Mobed, Prakash Lakshminarayanan, Maggie Massary, Russ J Cucina
{"title":"Ontology mapping and data discovery for the translational investigator.","authors":"Rob Wynden, Mark G Weiner, Ida Sim, Davera Gabriel, Marco Casale, Simona Carini, Shannon Hastings, David Ervin, Samson Tu, John H Gennari, Nick Anderson, Ketty Mobed, Prakash Lakshminarayanan, Maggie Massary, Russ J Cucina","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>An integrated data repository (IDR) containing aggregations of clinical, biomedical, economic, administrative, and public health data is a key component of an overall translational research infrastructure. But most available data repositories are designed using standard data warehouse architecture that employs arbitrary data encoding standards, making queries across disparate repositories difficult. In response to these shortcomings we have designed a Health Ontology Mapper (HOM) that translates terminologies into formal data encoding standards without altering the underlying source data. We believe the HOM system promotes inter-institutional data sharing and research collaboration, and will ultimately lower the barrier to developing and using an IDR.</p>","PeriodicalId":89276,"journal":{"name":"Summit on translational bioinformatics","volume":"2010 ","pages":"66-70"},"PeriodicalIF":0.0,"publicationDate":"2010-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3041530/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"29693647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Social network analysis of an online melanoma discussion group.","authors":"Kathleen T Durant, Alexa T McCray, Charles Safran","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>We have developed tools to explore social networks that share information in medical forums to better understand the unmet informational needs of patients and family members facing cancer treatments. We define metrics that demonstrate members discussing interleukin-2 receive a stronger response from the melanoma discussion group than a typical topic. The interleukin-2 network has a different topology than the melanoma network, has a higher density, and its members are more likely to have a higher intimacy level with another member and a lower inquisitiveness level than a typical melanoma user. Members are more likely to join the interleukin-2 network to answer a question than in the melanoma network (probability =.2 ±.05 p-value=.001). Within the melanoma network 20% of the questions posed to the community do not get an answer. In the interleukin-2 network, 1.3% of the questions (one question) do not get a response.</p>","PeriodicalId":89276,"journal":{"name":"Summit on translational bioinformatics","volume":"2010 ","pages":"6-10"},"PeriodicalIF":0.0,"publicationDate":"2010-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3041535/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"29694345","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Judith R Logan, Scott Britell, Lois M L Delcambre, Vandana Kapoor, J Gabriel Buckmaster
{"title":"Representing multi-database study schemas for reusability.","authors":"Judith R Logan, Scott Britell, Lois M L Delcambre, Vandana Kapoor, J Gabriel Buckmaster","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>The need for easy, non-technical interfaces to clinical databases for research preceded translational research activities but is made more important because of them. The utility of such interfaces can be improved by the presence of a persistent, reusable and modifiable structure that holds the decisions made in extraction of data from one or more datasources for a study, including the filtering of records, selection of the fields within those records, renaming of fields, and classification of data. This paper demonstrates use of the Web Ontology Language (OWL) as a data representation of these decisions which define a study schema.</p>","PeriodicalId":89276,"journal":{"name":"Summit on translational bioinformatics","volume":"2010 ","pages":"21-5"},"PeriodicalIF":0.0,"publicationDate":"2010-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3041545/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"29693711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Adi V Gundlapalli, Julio C Delgado, Brian R Jackson, Guido J Tricot, Harry R Hill
{"title":"Composite patient reports: a laboratory informatics perspective and pilot project for personalized medicine and translational research.","authors":"Adi V Gundlapalli, Julio C Delgado, Brian R Jackson, Guido J Tricot, Harry R Hill","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Clinical laboratories are a strong and integral partner in personalized health care. Laboratory information systems hold a vast amount of data representing human phenotypes, genotypes, biomarkers, progression of disease and response to therapy. These structured and unstructured free text data are critical for patient care and a resource for personalized medicine and translational research. Laboratory data are integrated into many electronic medical records that provide \"summary reports\" and \"trending\" to visualize longitudinal patient data. However, these generic reports are not sufficient to manage complex sub-specialty patients. There is an urgent need for end-user driven composite reports for the care of such patients. Using multiple myeloma as a model, this pilot was performed to assess the needs of stakeholders and create a customized report. This laboratory informatics solution is delivered at the point of care through the hospital EMR. Future work will involve further integration with hospital systems to promote clinical decision support and translational research.</p>","PeriodicalId":89276,"journal":{"name":"Summit on translational bioinformatics","volume":"2009 ","pages":"39-43"},"PeriodicalIF":0.0,"publicationDate":"2009-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3041581/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"29694057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Philip R O Payne, Alan Kwok, Rakesh Dhaval, Tara B Borlawsky
{"title":"Conceptual dissonance: evaluating the efficacy of natural language processing techniques for validating translational knowledge constructs.","authors":"Philip R O Payne, Alan Kwok, Rakesh Dhaval, Tara B Borlawsky","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>The conduct of large-scale translational studies presents significant challenges related to the storage, management and analysis of integrative data sets. Ideally, the application of methodologies such as conceptual knowledge discovery in databases (CKDD) provides a means for moving beyond intuitive hypothesis discovery and testing in such data sets, and towards the high-throughput generation and evaluation of knowledge-anchored relationships between complex bio-molecular and phenotypic variables. However, the induction of such high-throughput hypotheses is non-trivial, and requires correspondingly high-throughput validation methodologies. In this manuscript, we describe an evaluation of the efficacy of a natural language processing-based approach to validating such hypotheses. As part of this evaluation, we will examine a phenomenon that we have labeled as \"Conceptual Dissonance\" in which conceptual knowledge derived from two or more sources of comparable scope and granularity cannot be readily integrated or compared using conventional methods and automated tools.</p>","PeriodicalId":89276,"journal":{"name":"Summit on translational bioinformatics","volume":"2009 ","pages":"95-9"},"PeriodicalIF":0.0,"publicationDate":"2009-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3041552/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"29694504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Agent-based modeling supporting the migration of registry systems to grid based architectures.","authors":"Martin E Cryer, Lewis Frey","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>With the increasing age and cost of operation of the existing NCI SEER platform core technologies, such essential resources in the fight against cancer as these will eventually have to be migrated to Grid based systems. In order to model this migration, a simulation is proposed based upon an agent modeling technology. This modeling technique allows for simulation of complex and distributed services provided by a large scale Grid computing platform such as the caBIG(™) project's caGRID. In order to investigate such a migration to a Grid based platform technology, this paper proposes using agent-based modeling simulations to predict the performance of current and Grid configurations of the NCI SEER system integrated with the existing translational opportunities afforded by caGRID. The model illustrates how the use of Grid technology can potentially improve system response time as systems under test are scaled. In modeling SEER nodes accessing multiple registry silos, we show that the performance of SEER applications re-implemented in a Grid native manner exhibits a nearly constant user response time with increasing numbers of distributed registry silos, compared with the current application architecture which exhibits a linear increase in response time for increasing numbers of silos.</p>","PeriodicalId":89276,"journal":{"name":"Summit on translational bioinformatics","volume":"2009 ","pages":"26-30"},"PeriodicalIF":0.0,"publicationDate":"2009-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3041565/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"29694055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The open biomedical annotator.","authors":"Clement Jonquet, Nigam H Shah, Mark A Musen","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>The range of publicly available biomedical data is enormous and is expanding fast. This expansion means that researchers now face a hurdle to extracting the data they need from the large numbers of data that are available. Biomedical researchers have turned to ontologies and terminologies to structure and annotate their data with ontology concepts for better search and retrieval. However, this annotation process cannot be easily automated and often requires expert curators. Plus, there is a lack of easy-to-use systems that facilitate the use of ontologies for annotation. This paper presents the Open Biomedical Annotator (OBA), an ontology-based Web service that annotates public datasets with biomedical ontology concepts based on their textual metadata (www.bioontology.org). The biomedical community can use the annotator service to tag datasets automatically with ontology terms (from UMLS and NCBO BioPortal ontologies). Such annotations facilitate translational discoveries by integrating annotated data.[1].</p>","PeriodicalId":89276,"journal":{"name":"Summit on translational bioinformatics","volume":"2009 ","pages":"56-60"},"PeriodicalIF":0.0,"publicationDate":"2009-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3041576/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"29694060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pinar Wennerberg, Manuel Möller, Paul Buitelaar, Sonja Zillner
{"title":"Ontology based clinical query extraction.","authors":"Pinar Wennerberg, Manuel Möller, Paul Buitelaar, Sonja Zillner","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Knowledge about human anatomy, radiology and diseases that is essential for medical images can be acquired from medical ontology terms and relations. These can then be analyzed using domain corpora to observe statistically most relevant term-relation-term patterns. We argue that such patterns are the basis for more complex clinical search queries and describe our approach for deriving them. These patterns can then be used to support the knowledge elicitation process between the domain expert and the knowledge engineer by providing a common vocabulary for the communication.</p>","PeriodicalId":89276,"journal":{"name":"Summit on translational bioinformatics","volume":"2009 ","pages":"135"},"PeriodicalIF":0.0,"publicationDate":"2009-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3041560/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"29693832","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Elizabeth J Goldsmith, Saurabh Mendiratta, Radha Akella, Kathleen Dahlgren
{"title":"Natural language query in the biochemistry and molecular biology domains based on cognition search™.","authors":"Elizabeth J Goldsmith, Saurabh Mendiratta, Radha Akella, Kathleen Dahlgren","doi":"","DOIUrl":"","url":null,"abstract":"<p><strong>Motivation: </strong>With the increasing volume of scientific papers and heterogeneous nomenclature in the biomedical literature, it is apparent that an improvement over standard pattern matching available in existing search engines is required. Cognition Search Information Retrieval (CSIR) is a natural language processing (NLP) technology that possesses a large dictionary (lexicon) and large semantic databases, such that search can be based on meaning. Encoded synonymy, ontological relationships, phrases, and seeds for word sense disambiguation offer significant improvement over pattern matching. Thus, the CSIR has the right architecture to form the basis for a scientific search engine.</p><p><strong>Result: </strong>Here we have augmented CSIR to improve access to the MEDLINE database of scientific abstracts. New biochemical, molecular biological and medical language and acronyms were introduced from curated web-based sources. The resulting system was used to interpret MEDLINE abstracts. Meaning-based search of MEDLINE abstracts yields high precision (estimated at >90%), and high recall (estimated at >90%), where synonym, ontology, phrases and sense seeds have been encoded. The present implementation can be found at http://MEDLINE.cognition.com.</p><p><strong>Contact: </strong>Elizabeth.goldsmith@UTsouthwestern.edu Kathleen.dahlgren@cognition.com.</p>","PeriodicalId":89276,"journal":{"name":"Summit on translational bioinformatics","volume":"2009 ","pages":"32-7"},"PeriodicalIF":0.0,"publicationDate":"2009-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3041583/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"29694056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Evaluation of cardiovascular risk assessment models with respect to the clinical interpretation of atherosclerosis in a different type II diabetes cohort.","authors":"L W C Chan, Y Sun","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Epidemiological studies on cardiovascular risk developed many assessment models which are widely available for the public use. As many arterial occlusive diseases are developed from atherosclerosis in their early stage, it is meaningful to evaluate such models with respect to the clinical interpretation of atherosclerosis so as to promote the preventive care of vascular diseases. Our study aims to make use of the data collection form from the Hong Kong Chinese type II diabetes to evaluate and compare the performance of the risk assessment models of ARIC, FHS, UKPDS using ROC curve.We found that ARIC's Stroke model gives the best performance whose AUC is 0.646 in model for Black. UKPDS's Stroke has the lowest AUC, 0.497. It was found that ARIC model for the Black Americans has superior performance with respect to the cohort in Hong Kong based on the ROC analysis.</p>","PeriodicalId":89276,"journal":{"name":"Summit on translational bioinformatics","volume":"2009 ","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2009-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3041570/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"29694634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}