Early Identification of Maternal Cardiovascular Risk Through Sourcing and Preparing Electronic Health Record Data: Machine Learning Study

BACKGROUND: Health care data are fragmenting as patients seek care from diverse sources. Consequently, patient care is negatively impacted by disparate health records. Machine learning (ML) offers a disruptive force in its ability to inform and improve patient care and outcomes. However, the differe...

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Detalles Bibliográficos
Autores principales: Shara, Nawar, Anderson, Kelley M, Falah, Noor, Ahmad, Maryam F, Tavazoei, Darya, Hughes, Justin M, Talmadge, Bethany, Crovatt, Samantha, Dempers, Ramon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8874927/
https://www.ncbi.nlm.nih.gov/pubmed/35142637
http://dx.doi.org/10.2196/34932

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8874927/
https://www.ncbi.nlm.nih.gov/pubmed/35142637
http://dx.doi.org/10.2196/34932

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