Littérature scientifique sur le sujet « Querying clinical database »
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Articles de revues sur le sujet "Querying clinical database"
Nigrin, D. J., et I. S. Kohane. « Temporal Expressiveness in Querying a Time-stamp--based Clinical Database ». Journal of the American Medical Informatics Association 7, no 2 (1 mars 2000) : 152–63. http://dx.doi.org/10.1136/jamia.2000.0070152.
Texte intégralGiardine, Belinda M., Philippe Joly, Serge Pissard, Henri Wajcman, David H. K. Chui, Ross C. Hardison et George P. Patrinos. « Clinically relevant updates of the HbVar database of human hemoglobin variants and thalassemia mutations ». Nucleic Acids Research 49, no D1 (30 octobre 2020) : D1192—D1196. http://dx.doi.org/10.1093/nar/gkaa959.
Texte intégralTradigo, G., P. Veltri et S. Greco. « Geomedica : managing and querying clinical data distributions on geographical database systems ». Procedia Computer Science 1, no 1 (mai 2010) : 979–86. http://dx.doi.org/10.1016/j.procs.2010.04.108.
Texte intégrald’Acierno, Antonio, Angelo Facchiano et Anna Marabotti. « GALT Protein Database : Querying Structural and Functional Features of GALT Enzyme ». Human Mutation 35, no 9 (23 juillet 2014) : 1060–67. http://dx.doi.org/10.1002/humu.22613.
Texte intégralHurdle, J. F., S. C. Haroldsen, A. Hammer, C. Spigle, A. M. Fraser, G. P. Mineau et S. J. Courdy. « Identifying clinical/translational research cohorts : ascertainment via querying an integrated multi-source database ». Journal of the American Medical Informatics Association 20, no 1 (1 janvier 2013) : 164–71. http://dx.doi.org/10.1136/amiajnl-2012-001050.
Texte intégralMudaranthakam, Dinesh Pal, Jeffrey Thompson, Jinxiang Hu, Dong Pei, Shanthan Reddy Chintala, Michele Park, Brooke L. Fridley, Byron Gajewski, Devin C. Koestler et Matthew S. Mayo. « A Curated Cancer Clinical Outcomes Database (C3OD) for accelerating patient recruitment in cancer clinical trials ». JAMIA Open 1, no 2 (10 juillet 2018) : 166–71. http://dx.doi.org/10.1093/jamiaopen/ooy023.
Texte intégralSchwabe-Fry, Kristen, Mark Bollenbeck, Merilee Teylan, Duane Beekly, George Thomas, Janene Hubbard, Mary Jacka, Joylee Wu, Lilah M. Besser et Walter A. Kukull. « THE NATIONAL ALZHEIMER'S COORDINATING CENTER : QUERYING THE DATABASE AND REQUESTING DATA ». Alzheimer's & ; Dementia 13, no 7 (juillet 2017) : P158. http://dx.doi.org/10.1016/j.jalz.2017.06.2599.
Texte intégralBollenbeck, Mark, Kristen Schwabe-Fry, Merilee Teylan, Duane Beekly, George Thomas, Janene Hubbard, Mary Jacka, Joylee Wu, Lilah M. Besser et Walter A. Kukull. « [P1-555] : THE NATIONAL ALZHEIMER'S COORDINATING CENTER : QUERYING THE DATABASE AND REQUESTING DATA ». Alzheimer's & ; Dementia 13, no 7S_Part_10 (juillet 2017) : P507. http://dx.doi.org/10.1016/j.jalz.2017.06.571.
Texte intégralNagarakshitha, B. R., K. S. Lohith, K. P. Aarthy, Arjun Gopkumar et Uma Satya Ranjan. « Application of NoSQL Technology to Facilitate Storing and Retrieval of Clinical Data Using IndexedDb in Offline Conditions ». Journal of Computational and Theoretical Nanoscience 17, no 9 (1 juillet 2020) : 4012–15. http://dx.doi.org/10.1166/jctn.2020.9010.
Texte intégralDong, Qun, Feng Li, Yanjun Xu, Jing Xiao, Yingqi Xu, Desi Shang, Chunlong Zhang et al. « RNAactDrug : a comprehensive database of RNAs associated with drug sensitivity from multi-omics data ». Briefings in Bioinformatics 21, no 6 (3 décembre 2019) : 2167–74. http://dx.doi.org/10.1093/bib/bbz142.
Texte intégralThèses sur le sujet "Querying clinical database"
Taylor, David. « The development, construction and querying of a dynamic clinical relational database ». Thesis, Coventry University, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.404732.
Texte intégralPOZZANI, Gabriele. « Modeling and querying spatio-temporal clinical databases with multiple granularities ». Doctoral thesis, 2011. http://hdl.handle.net/11562/351591.
Texte intégralIn several research fields, temporal, spatial, and spatio-temporal data have to be managed and queried with several purposes. These data are usually composed by classical data enriched with a temporal and/or a spatial qualification. For instance, in epidemiology spatio-temporal data may represent surveillance data, origins of disease and outbreaks, and risk factors. In order to better exploit the time and spatial dimensions, spatio-temporal data could be managed considering their spatio-temporal dimensions as meta-data useful to retrieve information. One way to manage spatio-temporal dimensions is by using spatio-temporal granularities. This dissertation aims to show how this is possible, in particular for epidemiological spatio-temporal data. For this purpose, in this thesis we propose a framework for the definition of spatio-temporal granularities (i.e., partitions of a spatio-temporal dimension) with the aim to improve the management and querying of spatio-temporal data. The framework includes the theoretical definitions of spatial and spatio-temporal granularities (while for temporal granularities we refer to the framework proposed by Bettini et al.) and all related notions useful for their management, e.g., relationships and operations over granularities. Relationships are useful for relating granularities and then knowing how data associated with different granularities can be compared. Operations allow one to create new granularities from already defined ones, manipulating or selecting their components. We show how granularities can be represented in a database and can be used to enrich an existing spatio-temporal database. For this purpose, we conceptually and logically design a relational database for temporal, spatial, and spatio-temporal granularities. The database stores all data about granularities and their related information we defined in the theoretical framework. This database can be used for enriching other spatio-temporal databases with spatio-temporal granularities. We introduce the spatio-temporal psychiatric case register, developed by the Verona Community-based Psychiatric Service (CPS), for storing and managing information about psychiatric patient, their personal information, and their contacts with the CPS occurred in last 30 years. The case register includes both clinical and statistical information about contacts, that are also temporally and spatially qualified. We show how the case register database can be enriched with spatio-temporal granularities both extending its structure and introducing a spatio-temporal query language dealing with spatio-temporal data and spatio-temporal granularities. Thus, we propose a new spatio-temporal query language, by defining its syntax and semantics, that includes ad-hoc features and constructs for dealing with spatio-temporal granularities. Finally, using the proposed query language, we report several examples of spatio-temporal queries on the psychiatric case register showing the ``usage'' of granularities and their role in spatio-temporal queries useful for epidemiological studies.
Chapitres de livres sur le sujet "Querying clinical database"
Kinn, Sue, et Tanya Siann. « Querying a database ». Dans Computers and Clinical Audit, 75–82. Boston, MA : Springer US, 1998. http://dx.doi.org/10.1007/978-1-4899-6639-1_6.
Texte intégralFang, Yilu, Jae Hyun Kim, Betina Ross Idnay, Rebeca Aragon Garcia, Carmen E. Castillo, Yingcheng Sun, Hao Liu, Cong Liu, Chi Yuan et Chunhua Weng. « Participatory Design of a Clinical Trial Eligibility Criteria Simplification Method ». Dans Studies in Health Technology and Informatics. IOS Press, 2021. http://dx.doi.org/10.3233/shti210325.
Texte intégralJean-Baptiste, Lamy, Abdelmalek Mouazer, Karima Sedki et Rosy Tsopra. « Translating the Observational Medical Outcomes Partnership – Common Data Model (OMOP-CDM) Electronic Health Records to an OWL Ontology ». Dans MEDINFO 2021 : One World, One Health – Global Partnership for Digital Innovation. IOS Press, 2022. http://dx.doi.org/10.3233/shti220035.
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