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循环神经网络模型在腹膜透析临床预后预测中的初步应用
OBJECTIVE: Deep learning models, including recurrent neural network (RNN) and gated recurrent unit (GRU), were used to construct the clinical prognostic prediction models for peritoneal dialysis (PD) patients based on routine clinical data. The performance of the RNN and GRU were compared with logis...
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| Publicat a: | Beijing Da Xue Xue Bao Yi Xue Ban |
|---|---|
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
北京大学学报(医学版)编辑部
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7439044/ https://ncbi.nlm.nih.gov/pubmed/31209438 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.19723/j.issn.1671-167X.2019.03.034 |
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