Building a Semantic Interoperability Framework for Care and Research in Fibromuscular Dysplasia
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Marie-Christine Jaulent | Laurent Toubiana | Adrien Ugon | Ariane Assélé Kama | Sébastien Savard | Alessandra Giavarini | Emmanuel Touzé | Xavier Jeunemaître | Pierre-François Plouin | X. Jeunemaître | M. Jaulent | L. Toubiana | P. Plouin | E. Touzé | S. Savard | A. Ugon | A. Giavarini | Ariane Assélé Kama
[1] Marie-Christine Jaulent,et al. Formalizing Mappings to Optimize Automated Schema Alignment: Application to Rare Diseases , 2014, MIE.
[2] Jean Charlet,et al. Integrating the Human Phenotype Ontology into HeTOP Terminology-Ontology Server , 2013, MedInfo.
[3] Erhard Rahm,et al. A survey of approaches to automatic schema matching , 2001, The VLDB Journal.
[4] K. Eagle,et al. The United States Registry for Fibromuscular Dysplasia: Results in the First 447 Patients , 2012, Circulation.
[5] Vasa Curcin,et al. A unified structural/terminological interoperability framework based on LexEVS: application to TRANSFoRm , 2013, J. Am. Medical Informatics Assoc..
[6] Christel Daniel-Le Bozec,et al. Using electronic health records for clinical research: The case of the EHR4CR project , 2015, J. Biomed. Informatics.
[7] Christopher B. Forrest,et al. The case for a global rare-diseases registry , 2011, The Lancet.
[8] P. D. de Leeuw,et al. European consensus on the diagnosis and management of fibromuscular dysplasia. , 2014, Journal of hypertension.
[9] Stéphane Moreau,et al. MetaSurv: Web-Platform Generator for the Monitoring of Health Indicators and Interactive Geographical Information System , 2005, MIE.
[10] Dipak Kalra,et al. Improving EHR Semantic Interoperability: Future Vision and Challenges , 2014, MIE.
[11] Christel Daniel-Le Bozec,et al. An Ontological Approach for the Exploitation of Clinical Data , 2013, MedInfo.
[12] X. Jeunemaître,et al. Association Between 2 Angiographic Subtypes of Renal Artery Fibromuscular Dysplasia and Clinical Characteristics , 2012, Circulation.
[13] Heather Kincaid,et al. Development of common data elements: the experience of and recommendations from the early detection research network , 2003, Int. J. Medical Informatics.
[14] Paul Landais,et al. A methodology for a minimum data set for rare diseases to support national centers of excellence for healthcare and research , 2015, J. Am. Medical Informatics Assoc..
[15] Christian Lovis,et al. DebugIT for Patient Safety - Improving the Treatment with Antibiotics through Multimedia Data Mining of Heterogeneous Clinical Data , 2008, MIE.
[16] H. Lehnert,et al. Phaeochromocytoma, new genes and screening strategies , 2006, Clinical endocrinology.