Neural networks based on attention architecture are robust to data missingness for early predicting hospital mortality in intensive care unit patients

BACKGROUND: Although the machine learning model developed on electronic health records has become a promising method for early predicting hospital mortality, few studies focus on the approaches for handling missing data in electronic health records and evaluate model robustness to data missingness....

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Detalles Bibliográficos
Autores principales: Zeng, Zhixuan, Liu, Yang, Yao, Shuo, Liu, Jiqiang, Xiao, Bing, Liu, Chenxue, Gong, Xun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10170607/
https://www.ncbi.nlm.nih.gov/pubmed/37179744
http://dx.doi.org/10.1177/20552076231171482

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10170607/
https://www.ncbi.nlm.nih.gov/pubmed/37179744
http://dx.doi.org/10.1177/20552076231171482

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