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Mar 10, 2021 · Therefore, we aimed to construct an artificial intelligence (AI) model for predicting the 5-year survival of osteosarcoma patients by using extreme gradient boosting (XGBoost), a...
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Mar 10, 2021 · Therefore, we aimed to construct an artificial intelligence (AI) model for predicting the 5-year survival of osteosarcoma patients by using extreme gradient boosting (XGBoost), a large-scale machine-learning algorithm.
- Jiuzhou Jiang, Hao Pan, Mobai Li, Bao Qian, Xianfeng Lin, Shunwu Fan
- 2021
Feb 21, 2024 · The principal aim of this investigation is to identify pivotal biomarkers linked to the prognosis of osteosarcoma (OS) through the application of artificial intelligence (AI), with an ultimate...
Mar 10, 2021 · Therefore, we aimed to construct an artificial intelligence (AI) model for predicting the 5-year survival of osteosarcoma patients by using extreme gradient boosting (XGBoost), a...
Mar 10, 2021 · Therefore, we aimed to construct an artificial intelligence (AI) model for predicting the 5-year survival of osteosarcoma patients by using extreme gradient boosting (XGBoost), a large-scale machine-learning algorithm.
- Jiuzhou Jiang, Hao Pan, Mobai Li, Bao Qian, Xianfeng Lin, Shunwu Fan
- 10.1038/s41598-021-85223-4
- 2021
- Sci Rep. 2021; 11: 5542.
Therefore, we aimed to construct an articial intelligence (AI) model for predicting the {‑year survival of osteosarcoma patients by using extreme gradient boosting (XGBoost), a large‑scale...
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Can artificial intelligence predict the 5-year survival of osteosarcoma patients?
Which survival prediction models are used for osteosarcoma patients?
Can a 5-year survival curve predict osteosarcoma patients?
Does XGBoost predict osteosarcoma survival?
Mar 10, 2021 · An artificial intelligence model for predicting the 5-year survival of osteosarcoma patients by using extreme gradient boosting (XGBoost), a large-scale machine-learning algorithm that had excellent accuracy and is therefore useful in clinical settings.