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亚塑性大细胞淋巴瘤-亚塑性淋巴瘤激酶阳性的生存预测:基于整体机器学习模型

Ruilan Zhong1, Changjiu Liang1, Limei Li1

  • 1Department of Hematology, The Second Affiliated Hospital of Hainan Medical University, Haikou, Hainan, China.

Digital health
|November 17, 2025
PubMed
概括

这项研究开发了一种机器学习模型,用于预测阳性无塑性大细胞淋巴瘤-无塑性淋巴瘤激酶 (ALCL-ALK) 患者的生存率. 该模型准确识别高风险个体,帮助个性化治疗决策.

关键词:
无细胞大细胞淋巴瘤-ALK阳性塞尔·塞尔 (Seer) 是一个看得见的人.整体机器学习 整体机器学习预测模型的预测模型.生存预测的预测.

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