Learning Latent Space Representations to Predict Patient Outcomes: Model Development and Validation

BACKGROUND: Scalable and accurate health outcome prediction using electronic health record (EHR) data has gained much attention in research recently. Previous machine learning models mostly ignore relations between different types of clinical data (ie, laboratory components, International Classifica...

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Detalles Bibliográficos
Autores principales: Rongali, Subendhu, Rose, Adam J, McManus, David D, Bajracharya, Adarsha S, Kapoor, Alok, Granillo, Edgard, Yu, Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7136840/
https://www.ncbi.nlm.nih.gov/pubmed/32202503
http://dx.doi.org/10.2196/16374

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7136840/
https://www.ncbi.nlm.nih.gov/pubmed/32202503
http://dx.doi.org/10.2196/16374

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