Multi-dimensional patient acuity estimation with longitudinal EHR tokenization and flexible transformer networks

Transformer model architectures have revolutionized the natural language processing (NLP) domain and continue to produce state-of-the-art results in text-based applications. Prior to the emergence of transformers, traditional NLP models such as recurrent and convolutional neural networks demonstrate...

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Detalles Bibliográficos
Autores principales: Shickel, Benjamin, Silva, Brandon, Ozrazgat-Baslanti, Tezcan, Ren, Yuanfang, Khezeli, Kia, Guan, Ziyuan, Tighe, Patrick J., Bihorac, Azra, Rashidi, Parisa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Digital Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9682245/
https://www.ncbi.nlm.nih.gov/pubmed/36440460
http://dx.doi.org/10.3389/fdgth.2022.1029191

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9682245/
https://www.ncbi.nlm.nih.gov/pubmed/36440460
http://dx.doi.org/10.3389/fdgth.2022.1029191

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