Artificial intelligence-assisted prediction of preeclampsia: Development and external validation of a nationwide health insurance dataset of the BPJS Kesehatan in Indonesia

BACKGROUND: We developed and validated an artificial intelligence (AI)-assisted prediction of preeclampsia applied to a nationwide health insurance dataset in Indonesia. METHODS: The BPJS Kesehatan dataset have been preprocessed using a nested case-control design into preeclampsia/eclampsia (n = 331...

Descripción completa

Detalles Bibliográficos
Autores principales: Sufriyana, Herdiantri, Wu, Yu-Wei, Su, Emily Chia-Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Research paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7152721/
https://www.ncbi.nlm.nih.gov/pubmed/32283530
http://dx.doi.org/10.1016/j.ebiom.2020.102710

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7152721/
https://www.ncbi.nlm.nih.gov/pubmed/32283530
http://dx.doi.org/10.1016/j.ebiom.2020.102710

Ejemplares similares