Hi-BEHRT: Hierarchical Transformer-Based Model for Accurate Prediction of Clinical Events Using Multimodal Longitudinal Electronic Health Records

—Electronic health records (EHR) represent a holistic overview of patients’ trajectories. Their increasing availability has fueled new hopes to leverage them and develop accurate risk prediction models for a wide range of diseases. Given the complex interrelationships of medical records and patient...

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Detalles Bibliográficos
Autores principales: Li, Yikuan, Mamouei, Mohammad, Salimi-Khorshidi, Gholamreza, Rao, Shishir, Hassaine, Abdelaali, Canoy, Dexter, Lukasiewicz, Thomas, Rahimi, Kazem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7615082/
https://www.ncbi.nlm.nih.gov/pubmed/36427286
http://dx.doi.org/10.1109/JBHI.2022.3224727

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7615082/
https://www.ncbi.nlm.nih.gov/pubmed/36427286
http://dx.doi.org/10.1109/JBHI.2022.3224727

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