The Generalized Data Model for clinical research
暂无分享,去创建一个
Mark D. Danese | Jennifer Duryea | Ryan Duryea | Marc Halperin | M. Danese | M. Halperin | J. Duryea | Ryan Duryea
[1] Bruce E. Bray,et al. Architecture of a Federated Query Engine for Heterogeneous Resources , 2009, AMIA.
[2] Kenneth D. Mandl,et al. Data interchange using i2b2 , 2016, J. Am. Medical Informatics Assoc..
[3] Richard Platt,et al. Launching PCORnet, a national patient-centered clinical research network , 2014, Journal of the American Medical Informatics Association : JAMIA.
[4] Deborah H. Batson,et al. Data model considerations for clinical effectiveness researchers. , 2012, Medical care.
[5] Kavishwar B. Wagholikar,et al. Web services for data warehouses: OMOP and PCORnet on i2b2 , 2018, J. Am. Medical Informatics Assoc..
[6] Andrew Bate,et al. An Evaluation of the THIN Database in the OMOP Common Data Model for Active Drug Safety Surveillance , 2013, Drug Safety.
[7] Patrick B. Ryan,et al. Validation of a common data model for active safety surveillance research , 2012, J. Am. Medical Informatics Assoc..
[8] Brian Macisaac,et al. Common data model , 1999 .
[9] A. Bate,et al. Evidence generation from healthcare databases: recommendations for managing change , 2016, Pharmacoepidemiology and drug safety.
[10] Griffin M. Weber,et al. Serving the enterprise and beyond with informatics for integrating biology and the bedside (i2b2) , 2010, J. Am. Medical Informatics Assoc..
[11] Olivier Bodenreider,et al. The Unified Medical Language System (UMLS): integrating biomedical terminology , 2004, Nucleic Acids Res..
[12] Hilde van der Togt,et al. Publisher's Note , 2003, J. Netw. Comput. Appl..
[13] Z. Obermeyer,et al. Identification of Emergency Department Visits in Medicare Administrative Claims: Approaches and Implications , 2017, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.
[14] Vivienne J. Zhu,et al. Feasibility and utility of applications of the common data model to multiple, disparate observational health databases , 2015, J. Am. Medical Informatics Assoc..
[15] K. Bhaskaran,et al. Data Resource Profile: Clinical Practice Research Datalink (CPRD) , 2015, International journal of epidemiology.
[16] Marsha A Raebel,et al. Design considerations, architecture, and use of the Mini‐Sentinel distributed data system , 2012, Pharmacoepidemiology and drug safety.
[17] Bonnie K. Lind,et al. Challenges of Using Medical Insurance Claims Data for Utilization Analysis , 2006, American journal of medical quality : the official journal of the American College of Medical Quality.
[18] Bruce M Psaty,et al. Mini-Sentinel and regulatory science--big data rendered fit and functional. , 2014, The New England journal of medicine.
[19] Deborah Schrag,et al. Overview of the SEER-Medicare Data: Content, Research Applications, and Generalizability to the United States Elderly Population , 2002, Medical care.
[20] S. Papson. “Model” , 1981 .
[21] Jing Huang,et al. An Empirical Study for Impacts of Measurement Errors on EHR based Association Studies , 2016, AMIA.
[22] Jeffrey Dean,et al. Scalable and accurate deep learning with electronic health records , 2018, npj Digital Medicine.
[23] Andrew Bate,et al. A Comparative Assessment of Observational Medical Outcomes Partnership and Mini-Sentinel Common Data Models and Analytics: Implications for Active Drug Safety Surveillance , 2015, Drug Safety.
[24] L. Wilson,et al. Overview of the Surveillance, Epidemiology, and End Results database: evolution, data variables, and quality assurance. , 2012, Current problems in cancer.
[25] Adler J. Perotte,et al. Feasibility of Converting the Medicare Synthetic Public Use Data Into a Standardized Data Model for Clinical Research Informatics , 2015, American Medical Informatics Association Annual Symposium.
[26] Timothy L Lash,et al. Quantitative Bias Analysis in Regulatory Settings. , 2016, American journal of public health.
[27] Lisa M. Schilling,et al. Dynamic-ETL: a hybrid approach for health data extraction, transformation and loading , 2017, BMC Medical Informatics and Decision Making.