Development and validation of a prognostic model predicting symptomatic hemorrhagic transformation in acute ischemic stroke at scale in the OHDSI network.

Autor: Wang Q; Biomedical Engineering School, Sun Yat-Sen University, Guangzhou, China.; The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.; Observational Health Data Sciences and Informatics, New York, New York, United States of America., Reps JM; Observational Health Data Sciences and Informatics, New York, New York, United States of America.; Janssen Research and Development, Raritan, New Jersey, United States of America., Kostka KF; Observational Health Data Sciences and Informatics, New York, New York, United States of America.; IQVIA, Durham, North Carolina, United States of America., Ryan PB; Observational Health Data Sciences and Informatics, New York, New York, United States of America.; Janssen Research and Development, Raritan, New Jersey, United States of America.; Department of Biomedical Informatics, Columbia University, New York, New York, United States of America., Zou Y; Department of Neurosurgery, General Hospital of Southern Theatre Command, Guangzhou, China., Voss EA; Observational Health Data Sciences and Informatics, New York, New York, United States of America.; Janssen Research and Development, Raritan, New Jersey, United States of America.; Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands., Rijnbeek PR; Observational Health Data Sciences and Informatics, New York, New York, United States of America.; Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands., Chen R; Observational Health Data Sciences and Informatics, New York, New York, United States of America.; Department of Biomedical Informatics, Columbia University, New York, New York, United States of America.; Department of Medicine, Weill Cornell Medical College, New York, New York, United States of America., Rao GA; Observational Health Data Sciences and Informatics, New York, New York, United States of America.; Janssen Research and Development, Raritan, New Jersey, United States of America., Morgan Stewart H; Observational Health Data Sciences and Informatics, New York, New York, United States of America.; IQVIA, Durham, North Carolina, United States of America., Williams AE; Observational Health Data Sciences and Informatics, New York, New York, United States of America.; Tufts Medical Center, Institute for Clinical Research and Health Policy Studies, Boston, Massachusetts, United States of America., Williams RD; Observational Health Data Sciences and Informatics, New York, New York, United States of America.; Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands., Van Zandt M; Observational Health Data Sciences and Informatics, New York, New York, United States of America.; IQVIA, Durham, North Carolina, United States of America., Falconer T; Observational Health Data Sciences and Informatics, New York, New York, United States of America.; Department of Biomedical Informatics, Columbia University, New York, New York, United States of America., Fernandez-Chas M; Observational Health Data Sciences and Informatics, New York, New York, United States of America.; IQVIA, Durham, North Carolina, United States of America., Vashisht R; Observational Health Data Sciences and Informatics, New York, New York, United States of America.; Stanford Center for Biomedical Informatics Research, Stanford, California, United States of America., Pfohl SR; Observational Health Data Sciences and Informatics, New York, New York, United States of America.; Stanford Center for Biomedical Informatics Research, Stanford, California, United States of America., Shah NH; Observational Health Data Sciences and Informatics, New York, New York, United States of America.; Stanford Center for Biomedical Informatics Research, Stanford, California, United States of America., Kasthurirathne SN; Observational Health Data Sciences and Informatics, New York, New York, United States of America.; Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana, United States of America.; Department of Epidemiology, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, Indiana, United States of America., You SC; Observational Health Data Sciences and Informatics, New York, New York, United States of America.; Department of Biomedical informatics, Ajou University School of Medicine, Suwon, Korea., Jiang Q; Biomedical Engineering School, Sun Yat-Sen University, Guangzhou, China., Reich C; Observational Health Data Sciences and Informatics, New York, New York, United States of America.; IQVIA, Durham, North Carolina, United States of America., Zhou Y; Department of Biomedical Engineering, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China.

Publikováno v: PloS one [PLoS One] 2020 Jan 07; Vol. 15 (1), pp. e0226718. Date of Electronic Publication: 2020 Jan 07 (Print Publication: 2020).

Extract, transform, load framework for the conversion of health databases to OMOP.

Autor: Quiroz, Juan C.¹ (AUTHOR) juan.quiroz@unsw.edu.au, Chard, Tim¹ (AUTHOR), Sa, Zhisheng¹ (AUTHOR), Ritchie, Angus^2,3 (AUTHOR), Jorm, Louisa¹ (AUTHOR), Gallego, Blanca¹ (AUTHOR)

Publikováno v: PLoS ONE. 4/11/2022, Vol. 17 Issue 4, p1-13. 13p.

急性缺血性脑卒中患者血清miR-124、miR-134表达与病情严重程度及炎症反应的关系研究.

Autor: 冯芜若¹ fwr19891014@163.com, 许莹¹, 虞文魁¹, 吴婷², 李静¹

Publikováno v: Progress in Modern Biomedicine. May2021, Vol. 21 Issue 9, p1751-1754. 4p.

Development and validation of common data model-based fracture prediction model using machine learning algorithm.

Autor: Kong, Sung Hye, Kim, Sihyeon, Kim, Yisak, Kim, Jung Hee, Kim, Kwangsoo, Shin, Chan Soo

Publikováno v: Osteoporosis International; Aug2023, Vol. 34 Issue 8, p1437-1451, 15p, 5 Charts, 3 Graphs

Applying Machine Learning in Distributed Data Networks for Pharmacoepidemiologic and Pharmacovigilance Studies: Opportunities, Challenges, and Considerations.

Autor: Wong, Jenna, Prieto-Alhambra, Daniel, Rijnbeek, Peter R., Desai, Rishi J., Reps, Jenna M., Toh, Sengwee

Publikováno v: Drug Safety; May2022, Vol. 45 Issue 5, p493-510, 18p