Quantitative disease risk scores from EHR with applications to clinical risk stratification and genetic studies

Labeling clinical data from electronic health records (EHR) in health systems requires extensive knowledge of human expert, and painstaking review by clinicians. Furthermore, existing phenotyping algorithms are not uniformly applied across large datasets and can suffer from inconsistencies in case d...

Descripción completa

Detalles Bibliográficos
Autores principales: Xu, Danqing, Wang, Chen, Khan, Atlas, Shang, Ning, He, Zihuai, Gordon, Adam, Kullo, Iftikhar J., Murphy, Shawn, Ni, Yizhao, Wei, Wei-Qi, Gharavi, Ali, Kiryluk, Krzysztof, Weng, Chunhua, Ionita-Laza, Iuliana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8302667/
https://www.ncbi.nlm.nih.gov/pubmed/34302027
http://dx.doi.org/10.1038/s41746-021-00488-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8302667/
https://www.ncbi.nlm.nih.gov/pubmed/34302027
http://dx.doi.org/10.1038/s41746-021-00488-3

Ejemplares similares