Identifying Disease of Interest With Deep Learning Using Diagnosis Code

BACKGROUND: Autoencoder (AE) is one of the deep learning techniques that uses an artificial neural network to reconstruct its input data in the output layer. We constructed a novel supervised AE model and tested its performance in the prediction of a co-existence of the disease of interest only usin...

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Detalles Bibliográficos
Autores principales: Cho, Yoon-Sik, Kim, Eunsun, Stafford, Patrick L., Oh, Min-hwan, Kwon, Younghoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Academy of Medical Sciences 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10027541/
https://www.ncbi.nlm.nih.gov/pubmed/36942391
http://dx.doi.org/10.3346/jkms.2023.38.e77

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10027541/
https://www.ncbi.nlm.nih.gov/pubmed/36942391
http://dx.doi.org/10.3346/jkms.2023.38.e77

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