Results 41 to 50 of about 5,745 (195)

Towards ETL Processes to OMOP CDM Using Metadata and Modularization

, 2023
OMOP common data model (CDM) is designed for analyzing large clinical data and building cohorts for medical research, which requires Extract-Transform-Load processes (ETL) of local heterogeneous medical data. We present a concept for developing and evaluating a modularized metadata-driven ETL process, which can transform data into OMOP CDM regardless ...
Yuan, Peng, Elisa, Henke, Martin, Sedlmayr, Franziska, Bathelt   +3 more
openaire   +2 more sources

Enhancing Severe Neutropenia Prediction: PKPD-Informed Labeling for Machine Learning Models Trained on Real-World Data. [PDF]

Clin Pharmacol Ther
Accurately labeling outcomes in real‐world data for machine learning is challenging due to data sparsity and imbalances. This study developed and evaluated a pharmacokinetic–pharmacodynamic (PKPD)‐informed labeling strategy to enhance the risk prediction of docetaxel‐induced neutropenia.
O'Hanlon CJ, Denck J, Ozkirimli E, Bendels S, Jamois C, Chavanne C, Fey D, Porkka K, Brück O, Wang K.   +9 more
europepmc   +2 more sources

Web services for data warehouses: OMOP and PCORnet on i2b2 [PDF]

Journal of the American Medical Informatics Association, 2018
AbstractObjectiveHealthcare organizations use research data models supported by projects and tools that interest them, which often means organizations must support the same data in multiple models. The healthcare research ecosystem would benefit if tools and projects could be adopted independently from the underlying data model.
Klann, Jeffrey G, Phillips, Lori C, Herrick, Christopher, Joss, Matthew A H, Wagholikar, Kavishwar B, Murphy, Shawn N   +5 more
openaire   +2 more sources

Scalable Collaborative Infrastructure for a Learning Healthcare System (SCILHS): Architecture [PDF]

, 2014
We describe the architecture of the Patient Centered Outcomes Research Institute (PCORI) funded Scalable Collaborative Infrastructure for a Learning Healthcare System (SCILHS, http://www.SCILHS.org) clinical data research network, which leverages the $48
Adams, William G, Bernstam, Elmer, Bickel, Jonathan, Ge, Yaorong, Hripcsak, George, Klann, Jeffrey G, Kohane, Isaac S, Mandel, Joshua, Mandl, Kenneth D, Marsolo, Keith, McFadden, Douglas, Murphy, Shawn N, Natter, Marc, Ofili, Elizabeth, Perkins, James, Quarshie, Alexander, Schneeweiss, Sebastian, Showalter, John, Weber, Griffin M, Weiler, Sarah, Zhou, Xiaobo   +20 more
core   +2 more sources

76 Lessons learned during implementation of OMOP common data model across multiple health systems

Journal of Clinical and Translational Science
OBJECTIVES/GOALS: Adoption of the Observational Medical Outcomes Partnership (OMOP) common data model promises to transform large-scale observational health research.
William Garneau, Benjamin Martin, Kelly Gebo, Paul Nagy, Johns Hopkins, Danielle Boyce, Michael Cook, Matthew Robinson   +7 more
doaj   +1 more source

Patient-Level Fall Risk Prediction Using the Observational Medical Outcomes Partnership’s Common Data Model: Pilot Feasibility Study

JMIR Medical Informatics, 2022
BackgroundFalls in acute care settings threaten patients’ safety. Researchers have been developing fall risk prediction models and exploring risk factors to provide evidence-based fall prevention practices; however, such efforts ...
Hyesil Jung, Sooyoung Yoo, Seok Kim, Eunjeong Heo, Borham Kim, Ho-Young Lee, Hee Hwang   +6 more
doaj   +1 more source

Conversion of Automated 12-Lead Electrocardiogram Interpretations to OMOP CDM Vocabulary

Applied Clinical Informatics, 2022
Abstract Background A computerized 12-lead electrocardiogram (ECG) can automatically generate diagnostic statements, which are helpful for clinical purposes. Standardization is required for big data analysis when using ECG data generated by different interpretation algorithms.
Choi, Sunho, Joo, Hyung Joon, Kim, Yoojoong, Kim, Jong-Ho, Seok, Junhee   +4 more
openaire   +2 more sources

Exploring a structural protein-drug interactome for new therapeutics in lung cancer [PDF]

, 2014
The pharmacology of drugs is often defined by more than one protein target. This property can be exploited to use approved drugs to uncover new targets and signaling pathways in cancer.
Bum-Erdene, Khuchtumur, Jalal, Shadia I., Li, Lang, Li, Liwei, Meroueh, Samy, Peng, Xiaodong, Pollok, Karen, Sandusky, George, Sinn, Tony, Turchi, John, Wang, Bo, Wang, Fang, Xu, David   +12 more
core   +1 more source

Association Between Biologic Therapy and Reduced Acute Rhinosinusitis Episodes: A Retrospective Database Study [PDF]

Laryngoscope Investig Otolaryngol
In the control group, 14% experienced at least one episode of ABRS. In the biologic‐exposed group, only 6% had an ABRS episode. This difference was shown to be statistically significant, reflecting a strong protective association biologics have on ABRS episodes.
Zheng W, Arslan M, Zhu C, Guirguis C, Spielman D.   +4 more
europepmc   +2 more sources

Mapping Cancer Registry Data to the Episode Domain of the Observational Medical Outcomes Partnership Model (OMOP)

Applied Sciences, 2022
A great challenge in the use of standardized cancer registry data is deriving reliable, evidence-based results from large amounts of data. A solution could be its mapping to a common data model such as OMOP, which represents knowledge in a unified ...
Jasmin Carus, Sylvia Nürnberg, Frank Ückert, Catarina Schlüter, Stefan Bartels   +4 more
doaj   +1 more source