Prediction of Preeclampsia and Intrauterine Growth Restriction: Development of Machine Learning Models on a Prospective Cohort

BACKGROUND: Preeclampsia and intrauterine growth restriction are placental dysfunction–related disorders (PDDs) that require a referral decision be made within a certain time period. An appropriate prediction model should be developed for these diseases. However, previous models did not demonstrate...

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Detalles Bibliográficos
Autores principales: Sufriyana, Herdiantri, Wu, Yu-Wei, Su, Emily Chia-Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7265111/
https://www.ncbi.nlm.nih.gov/pubmed/32348266
http://dx.doi.org/10.2196/15411

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7265111/
https://www.ncbi.nlm.nih.gov/pubmed/32348266
http://dx.doi.org/10.2196/15411

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