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开发一种可预测的机器学习模型,用于二次免疫缺陷患者的病原体概况

Qianning Liu1, Yifan Chen1, Peng Xie2

  • 1School of Statistics, Jiangxi University of Finance and Economics, Nanchang, 330013, Jiangxi, China.

BMC medical informatics and decision making
|February 13, 2024
PubMed
概括

机器学习模型可以预测二次免疫缺陷患者 (HIV感染除外) 的传染病原体. 梯度增强机模型实现了91.01%的准确性,有助于及时做出临床决定.

关键词:
增强后勤回归的方法梯度增强机器 梯度增强机器不平衡的数据不平衡的数据K是最近的邻居.病原体是一种病原体.随机的森林随机的森林二次性免疫缺陷是什么意思

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Immunodeficiency disorders are conditions in which the immune system's ability to fight infectious disease and cancer is compromised or entirely absent. The immune system comprises a complex network of cells, tissues, and organs that work together to protect the body from potentially harmful invaders. When this system is deficient or not functioning properly, it leaves the body susceptible to infections, diseases, or other complications.
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