Embedding electronic health records onto a knowledge network recognizes prodromal features of multiple sclerosis and predicts diagnosis

OBJECTIVE: Early identification of chronic diseases is a pillar of precision medicine as it can lead to improved outcomes, reduction of disease burden, and lower healthcare costs. Predictions of a patient’s health trajectory have been improved through the application of machine learning approaches t...

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Detalles Bibliográficos
Autores principales: Nelson, Charlotte A, Bove, Riley, Butte, Atul J, Baranzini, Sergio E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8800523/
https://www.ncbi.nlm.nih.gov/pubmed/34915552
http://dx.doi.org/10.1093/jamia/ocab270

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8800523/
https://www.ncbi.nlm.nih.gov/pubmed/34915552
http://dx.doi.org/10.1093/jamia/ocab270

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