Detalhe da pesquisa
1.
Increase transparency and reproducibility of real-world evidence in rare diseases through disease-specific Federated Data Networks.
Pharmacoepidemiol Drug Saf
; 33(4): e5778, 2024 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-38556812
2.
Electronic health records (EHRs) in clinical research and platform trials: Application of the innovative EHR-based methods developed by EU-PEARL.
J Biomed Inform
; 148: 104553, 2023 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-38000766
3.
Standardizing registry data to the OMOP Common Data Model: experience from three pulmonary hypertension databases.
BMC Med Res Methodol
; 21(1): 238, 2021 11 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-34727871
4.
Clinical evaluation of code-based algorithms to identify patients with pulmonary arterial hypertension in healthcare databases.
Pulm Circ
; 14(1): e12333, 2024 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-38333073
5.
Time to diagnosis of pulmonary hypertension and diagnostic burden: A retrospective analysis of nationwide US healthcare data.
Pulm Circ
; 13(1): e12188, 2023 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-36694845
6.
A machine learning approach to identifying patients with pulmonary hypertension using real-world electronic health records.
Int J Cardiol
; 374: 95-99, 2023 03 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-36528138
7.
Evaluation of code-based algorithms to identify pulmonary arterial hypertension and chronic thromboembolic pulmonary hypertension patients in large administrative databases.
Pulm Circ
; 10(4): 2045894020961713, 2020.
Artigo
em Inglês
| MEDLINE | ID: mdl-33240487
8.
Prediction of Real-World Drug Effectiveness Prelaunch: Case Study in Rheumatoid Arthritis.
Med Decis Making
; 38(6): 719-729, 2018 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-30074882