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Deep Learning-Based Long Term Mortality Prediction in the National Lung Screening Trial
In this study, the long-term mortality in the National Lung Screening Trial (NLST) was investigated using a deep learning-based method. Binary classification of the non-lung-cancer mortality (i.e. cardiovascular and respiratory mortality) was performed using neural network models centered around a 3...
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| 出版年: | IEEE Access |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2022
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| 主題: | |
| オンライン・アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7615166/ https://ncbi.nlm.nih.gov/pubmed/37810591 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ACCESS.2022.3161954 |
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