Evaluating the impact of alternative phenotype definitions on incidence rates across a global data network

Makadia, R., Shoaibi, A., Rao, G. A., Ostropolets, A., Rijnbeek, P. R., Voss, E. A., Duarte-Salles, T., Ramírez-Anguita, J. M., Mayer, M. A., Maljković, F., Denaxas, S., Nyberg, F., Papez, V., Sena, A. G., Alshammari, T. M., Lai, L. Y. H., Haynes, K., Suchard, M. A., Hripcsak, G., & Ryan, P. B. (2023). Evaluating the impact of alternative phenotype definitions on incidence rates across a global data network. JAMIA Open, 6(4). https://doi.org/10.1093/jamiaopen/ooad096
Authors:
Rupa Makadia
Azza Shoaibi
Gowtham A Rao
Anna Ostropolets
Peter R Rijnbeek
Erica A Voss
Talita Duarte-Salles
Juan Manuel Ramírez-Anguita
Miguel A Mayer
Filip Maljković
Spiros Denaxas
Fredrik Nyberg
Vaclav Papez
Anthony G Sena
Thamir M Alshammari
Lana Y H Lai
Kevin Haynes
Marc A Suchard
George Hripcsak
Patrick B Ryan
Affiliated Authors:
Anna Ostropolets
George Hripcsak
Patrick B Ryan
Author Keywords:
algorithms
electronic health record
incidence study
phenotype
Publication Type:
Article
Unique ID:
10.1093/jamiaopen/ooad096
PMID:
Journal:
Publication Date:
Data Source:
PubMed

Record Created: