In-pandemic development of an application ontology for COVID-19 surveillance in a primary care sentinel network.
暂无分享,去创建一个
J. Pell | S. de Lusignan | T. Fahey | T. Greenhalgh | F. Mair | H. Liyanage | D. McGagh | B. Jani | J. Bauwens | R. Byford | Dai Evans | N. Jones | Cecilia Okusi | Vaishnavi Parimalanathan | J. Sherlock | Oscar Tamburis | Manasa Tripathy | F. Ferreira | John Williams | F. Hobbs | Filipa Ferreira | D. Evans | Rachel Byford
[1] M A Musen,et al. Domain Ontologies in Software Engineering: Use of Protégé with the EON Architecture , 1998, Methods of Information in Medicine.
[2] Mordechai Ben-Menachem,et al. Writing effective use cases , 2001, SOEN.
[3] L. Madoff. ProMED-mail: an early warning system for emerging diseases. , 2004, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.
[4] David L. Buckeridge,et al. Ontology-centered syndromic surveillance for bioterrorism , 2005, IEEE Intelligent Systems.
[5] P Kumarapeli,et al. Using Unified Modelling Language (UML) as a process-modelling technique for clinical-research process improvement , 2007, Medical informatics and the Internet in medicine.
[6] Son Doan,et al. BioCaster: detecting public health rumors with a Web-based text mining system , 2008, Bioinform..
[7] Kenneth D. Mandl,et al. HealthMap: Global Infectious Disease Monitoring through Automated Classification and Visualization of Internet Media Reports , 2008, Journal of the American Medical Informatics Association.
[8] S. de Lusignan,et al. Variation in the recording of diabetes diagnostic data in primary care computer systems: implications for the quality of care. , 2009, Informatics in primary care.
[9] Helen Parkinson,et al. Reference and Application Ontologies , 2010 .
[10] S. de Lusignan,et al. A method of identifying and correcting miscoding, misclassification and misdiagnosis in diabetes: a pilot and validation study of routinely collected data , 2010, Diabetic medicine : a journal of the British Diabetic Association.
[11] Anna Zhukova,et al. Modeling sample variables with an Experimental Factor Ontology , 2010, Bioinform..
[12] L. Lipsitz,et al. Understanding health care as a complex system: the foundation for unintended consequences. , 2012, JAMA.
[13] Joachim Sturmberg,et al. Understanding health care delivery as a complex system: achieving best possible health outcomes for individuals and communities by focusing on interdependencies. , 2014, Journal of evaluation in clinical practice.
[14] K. Denecke,et al. Social Media and Internet-Based Data in Global Systems for Public Health Surveillance: A Systematic Review , 2014, The Milbank quarterly.
[15] S de Lusignan,et al. Big Data Usage Patterns in the Health Care Domain: A Use Case Driven Approach Applied to the Assessment of Vaccination Benefits and Risks , 2014, Yearbook of Medical Informatics.
[16] S. de Lusignan. In this issue: Ontologies a key concept in informatics and key for open definition of cases, exposures and outcome measures , 2015, BMJ Health & Care Informatics.
[17] Mark A. Musen,et al. The protégé project: a look back and a look forward , 2015, SIGAI.
[18] A Mawudeku,et al. Big Data and the Global Public Health Intelligence Network (GPHIN). , 2015, Canada communicable disease report = Releve des maladies transmissibles au Canada.
[19] Mark J. Taylor,et al. LEGAL BASES FOR DISCLOSING CONFIDENTIAL PATIENT INFORMATION FOR PUBLIC HEALTH: DISTINGUISHING BETWEEN HEALTH PROTECTION AND HEALTH IMPROVEMENT , 2015, Medical law review.
[20] Joanna Ellis,et al. Effectiveness of seasonal influenza vaccine for adults and children in preventing laboratory-confirmed influenza in primary care in the United Kingdom: 2015/16 end-of-season results , 2016, Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin.
[21] Simon de Lusignan,et al. Royal College of General Practitioners Research and Surveillance Centre (RCGP RSC) sentinel network: a cohort profile , 2016, BMJ Open.
[22] Erik Schultes,et al. The FAIR Guiding Principles for scientific data management and stewardship , 2016, Scientific Data.
[23] Filipa Ferreira,et al. RCGP Research and Surveillance Centre: 50 years' surveillance of influenza, infections, and respiratory conditions. , 2017, The British journal of general practice : the journal of the Royal College of General Practitioners.
[24] Simon de Lusignan,et al. Automated Differentiation of Incident and Prevalent Cases in Primary Care Computerised Medical Records (CMR) , 2018, MIE.
[25] Harshana Liyanage,et al. An ontological approach to identifying cases of chronic kidney disease from routine primary care data: a cross-sectional study , 2018, BMC Nephrology.
[26] Simon de Lusignan,et al. Common Data Models (CDMs) to Enhance International Big Data Analytics: A Diabetes Use Case to Compare Three CDMs , 2018, EFMI-STC.
[27] Charlene R. Weir,et al. Development of a cardiac-centered frailty ontology , 2019, Journal of Biomedical Semantics.
[28] Harshana Liyanage,et al. Artificial Intelligence in Primary Health Care: Perceptions, Issues, and Challenges , 2019, Yearbook of Medical Informatics.
[29] Harshana Liyanage,et al. Ontology to identify pregnant women in electronic health records: primary care sentinel network database study , 2019, BMJ Health & Care Informatics.
[30] P. Horby,et al. A novel coronavirus outbreak of global health concern , 2020, The Lancet.
[31] Xiaolong Qi,et al. Real estimates of mortality following COVID-19 infection , 2020, The Lancet Infectious Diseases.
[32] Y. Hu,et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China , 2020, The Lancet.
[33] Christian Drosten,et al. Severe acute respiratory syndrome-related coronavirus: The species and its viruses – a statement of the Coronavirus Study Group , 2020, bioRxiv.
[34] C. Whittaker,et al. Estimates of the severity of coronavirus disease 2019: a model-based analysis , 2020, The Lancet Infectious Diseases.
[35] Joanna Ellis,et al. Risk factors for SARS-CoV-2 among patients in the Oxford Royal College of General Practitioners Research and Surveillance Centre primary care network: a cross-sectional study , 2020, The Lancet Infectious Diseases.
[36] Alex J. Elliot,et al. The Oxford Royal College of General Practitioners Clinical Informatics Digital Hub: Protocol to Develop Extended COVID-19 Surveillance and Trial Platforms (Preprint) , 2020 .
[37] Simon de Lusignan,et al. Investigating regional variation of respiratory infections in a general practice syndromic surveillance system. , 2020, Journal of public health.
[38] Simon de Lusignan,et al. To monitor the COVID-19 pandemic we need better quality primary care data , 2020, BJGP open.
[39] A. Giacomelli,et al. Self-reported olfactory and taste disorders in SARS-CoV-2 patients: a cross-sectional study. , 2020, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.
[40] Harshana Liyanage,et al. Ethical Use of Electronic Health Record Data and Artificial Intelligence: Recommendations of the Primary Care Informatics Working Group of the International Medical Informatics Association , 2020, Yearbook of Medical Informatics.
[41] Joanna Ellis,et al. Emergence of a Novel Coronavirus (COVID-19): Protocol for Extending Surveillance Used by the Royal College of General Practitioners Research and Surveillance Centre and Public Health England , 2020, JMIR public health and surveillance.
[42] C. Buckee,et al. Improving epidemic surveillance and response: big data is dead, long live big data , 2020, The Lancet Digital Health.
[43] J. Pell,et al. COVID-19 Surveillance in a Primary Care Sentinel Network: In-Pandemic Development of an Application Ontology , 2020, JMIR public health and surveillance.