Limitations of Deep Learning Attention Mechanisms in Clinical Research: Empirical Case Study Based on the Korean Diabetic Disease Setting

BACKGROUND: Despite excellent prediction performance, noninterpretability has undermined the value of applying deep-learning algorithms in clinical practice. To overcome this limitation, attention mechanism has been introduced to clinical research as an explanatory modeling method. However, potentia...

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Detalles Bibliográficos
Autores principales: Kim, Junetae, Lee, Sangwon, Hwang, Eugene, Ryu, Kwang Sun, Jeong, Hanseok, Lee, Jae Wook, Hwangbo, Yul, Choi, Kui Son, Cha, Hyo Soung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7773508/
https://www.ncbi.nlm.nih.gov/pubmed/33325832
http://dx.doi.org/10.2196/18418

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7773508/
https://www.ncbi.nlm.nih.gov/pubmed/33325832
http://dx.doi.org/10.2196/18418

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