Results 41 to 50 of about 1,444 (142)

EJP RD meets OHDSI: enabling interoperability for rare disease research

, 2023
These are materials presented at the ISMB 2022 Bio-Ontologies track on mapping between a rare disease semantic data model and the OHDSI OMOP standard data model.
Benis, Nirupama, de Groot, Rowdy, Alarcón, Pablo, Kaliyaperumal, Rajaram, Roos, Marco, Cornet, Ronald, Queralt-Rosinach, Núria   +6 more
openaire   +1 more source

Implementation of the COVID-19 Vulnerability Index Across an International Network of Health Care Data Sets: Collaborative External Validation Study

JMIR Medical Informatics, 2021
BackgroundSARS-CoV-2 is straining health care systems globally. The burden on hospitals during the pandemic could be reduced by implementing prediction models that can discriminate patients who require hospitalization from those who do not.
Reps, Jenna M, Kim, Chungsoo, Williams, Ross D, Markus, Aniek F, Yang, Cynthia, Duarte-Salles, Talita, Falconer, Thomas, Jonnagaddala, Jitendra, Williams, Andrew, Fernández-Bertolín, Sergio, DuVall, Scott L, Kostka, Kristin, Rao, Gowtham, Shoaibi, Azza, Ostropolets, Anna, Spotnitz, Matthew E, Zhang, Lin, Casajust, Paula, Steyerberg, Ewout W, Nyberg, Fredrik, Kaas-Hansen, Benjamin Skov, Choi, Young Hwa, Morales, Daniel, Liaw, Siaw-Teng, Abrahão, Maria Tereza Fernandes, Areia, Carlos, Matheny, Michael E, Lynch, Kristine E, Aragón, María, Park, Rae Woong, Hripcsak, George, Reich, Christian G, Suchard, Marc A, You, Seng Chan, Ryan, Patrick B, Prieto-Alhambra, Daniel, Rijnbeek, Peter R   +36 more
doaj   +1 more source

Unraveling COVID-19: A Large-Scale Characterization of 4.5 Million COVID-19 Cases Using CHARYBDIS

Clinical Epidemiology, 2022
Kristin Kostka,1,2 Talita Duarte-Salles,3 Albert Prats-Uribe,4 Anthony G Sena,5,6 Andrea Pistillo,3 Sara Khalid,4 Lana YH Lai,7 Asieh Golozar,8,9 Thamir M Alshammari,10 Dalia M Dawoud,11 Fredrik Nyberg,12 Adam B Wilcox,13,14 Alan Andryc,5 Andrew Williams,
Kostka K, Duarte-Salles T, Prats-Uribe A, Sena AG, Pistillo A, Khalid S, Lai LYH, Golozar A, Alshammari TM, Dawoud DM, Nyberg F, Wilcox AB, Andryc A, Williams A, Ostropolets A, Areia C, Jung CY, Harle CA, Reich CG, Blacketer C, Morales DR, Dorr DA, Burn E, Roel E, Tan EH, Minty E, DeFalco F, de Maeztu G, Lipori G, Alghoul H, Zhu H, Thomas JA, Bian J, Park J, Martínez Roldán J, Posada JD, Banda JM, Horcajada JP, Kohler J, Shah K, Natarajan K, Lynch KE, Liu L, Schilling LM, Recalde M, Spotnitz M, Gong M, Matheny ME, Valveny N, Weiskopf NG, Shah N, Alser O, Casajust P, Park RW, Schuff R, Seager S, DuVall SL, You SC, Song S, Fernández-Bertolín S, Fortin S, Magoc T, Falconer T, Subbian V, Huser V, Ahmed WUR, Carter W, Guan Y, Galvan Y, He X, Rijnbeek PR, Hripcsak G, Ryan PB, Suchard MA, Prieto-Alhambra D   +74 more
doaj  

Detecting and Filtering Immune-Related Adverse Events Signal Based on Text Mining and Observational Health Data Sciences and Informatics Common Data Model: Framework Development Study

JMIR Medical Informatics, 2020
BackgroundImmune checkpoint inhibitors are associated with unique immune-related adverse events (irAEs). As most of the immune checkpoint inhibitors are new to the market, it is important to conduct studies using real-world data sources to investigate ...
Yu, Yue, Ruddy, Kathryn, Mansfield, Aaron, Zong, Nansu, Wen, Andrew, Tsuji, Shintaro, Huang, Ming, Liu, Hongfang, Shah, Nilay, Jiang, Guoqian   +9 more
doaj   +1 more source

Assessing the Use of German Claims Data Vocabularies for Research in the Observational Medical Outcomes Partnership Common Data Model: Development and Evaluation Study

JMIR Medical Informatics, 2023
BackgroundNational classifications and terminologies already routinely used for documentation within patient care settings enable the unambiguous representation of clinical information.
Elisa Henke, Michéle Zoch, Michael Kallfelz, Thomas Ruhnke, Liz Annika Leutner, Melissa Spoden, Christian Günster, Martin Sedlmayr, Franziska Bathelt   +8 more
doaj   +1 more source

Toward cross‐platform electronic health record‐driven phenotyping using Clinical Quality Language

Learning Health Systems, 2020
Introduction Electronic health record (EHR)‐driven phenotyping is a critical first step in generating biomedical knowledge from EHR data. Despite recent progress, current phenotyping approaches are manual, time‐consuming, error‐prone, and platform ...
Pascal S. Brandt, Richard C. Kiefer, Jennifer A. Pacheco, Prakash Adekkanattu, Evan T. Sholle, Faraz S. Ahmad, Jie Xu, Zhenxing Xu, Jessica S. Ancker, Fei Wang, Yuan Luo, Guoqian Jiang, Jyotishman Pathak, Luke V. Rasmussen   +13 more
doaj   +1 more source

Effect of Age on the Initiation of Biologic Agent Therapy in Patients With Inflammatory Bowel Disease: Korean Common Data Model Cohort Study

JMIR Medical Informatics, 2020
BackgroundThe Observational Health Data Sciences and Informatics (OHDSI) network is an international collaboration established to apply open-source data analytics to a large network of health databases, including the Korean common data model (K-CDM ...
Choi, Youn I, Kim, Yoon Jae, Chung, Jun-Won, Kim, Kyoung Oh, Kim, Hakki, Park, Rae Woong, Park, Dong Kyun   +6 more
doaj   +1 more source

A methodology for cohort harmonisation in multicentre clinical research

Informatics in Medicine Unlocked, 2021
Many clinical trials and scientific studies have been conducted aiming for better understanding of specific medical conditions. However, these studies are often based on a small number of participants due to the difficulty in finding people with similar ...
João Rafael Almeida, Luís Bastão Silva, Isabelle Bos, Pieter Jelle Visser, José Luís Oliveira   +4 more
doaj   +1 more source

The Book of OHDSI

, 2020
This book was written by the OHDSI community and many EHDEN partners have contributed to writing it.
openaire   +1 more source

Using a data-driven approach for the development and evaluation of phenotype algorithms for systemic lupus erythematosus.

PLoS ONE, 2023
BackgroundSystemic lupus erythematosus (SLE) is a chronic autoimmune disease of unknown origin. The objective of this research was to develop phenotype algorithms for SLE suitable for use in epidemiological studies using empirical evidence from ...
Joel N Swerdel, Darmendra Ramcharran, Jill Hardin   +2 more
doaj   +2 more sources