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决策树算法预测无法治愈的癌症死亡率:一个新的预后模型

Renata de Souza-Silva1, Larissa Calixto-Lima1, Emanuelly Varea Maria Wiegert1

  • 1Nutrition, National Cancer Institute, Rio de Janeiro, Brazil.

BMJ supportive & palliative care
|January 19, 2024
PubMed
概括

一个新的预后模型,简单的决策树算法用于预测不可治愈癌症患者的死亡率 (STIC),准确地预测不可治愈癌症患者的90天死亡率. STIC将患者分为低风险,中风险和高风险组,以改善息护理计划.

关键词:
癌症 癌症 癌症 癌症 癌症临床决策 临床决策预后 预后 预后终端护理服务终端护理服务

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