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Updated: Jun 6, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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使用机器学习预测产业诱导后的阴道分娩:开发一个多变量预测模型.

Iolanda Ferreira1,2, Joana Simões3, João Correia3

  • 1Obstetrics Department, University and Hospitalar Centre of Coimbra, Coimbra, Portugal.

Acta obstetricia et gynecologica Scandinavica
|November 27, 2024
PubMed
概括

一个新的模型预测了79.4%的准确性 (AUROC) 产业诱导后的阴道分娩. 这种工具有助于评估剖腹产风险,并为正在进行分娩诱导的孕妇提供个性化咨询.

关键词:
剖腹产是一个剖腹产.劳动的诱导劳动的诱导.机器学习是机器学习.交付方式的交付方式.预测模型的预测模型.通过阴道分娩.

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相关概念视频

Multiple Regression01:25

Multiple Regression

Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
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