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Survival outcome prediction in cervical cancer: Cox models vs deep-learning model
BACKGROUND: Historically, the Cox proportional hazard regression model has been the mainstay for survival analyses in oncologic research. The Cox proportional hazard regression model generally is used based on an assumption of linear association. However, it is likely that, in reality, there are man...
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| 出版年: | Am J Obstet Gynecol |
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| 主要な著者: | , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7526040/ https://ncbi.nlm.nih.gov/pubmed/30582927 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ajog.2018.12.030 |
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