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Updated: Jul 3, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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一个机器学习算法使用临床和人口统计数据来预测所有原因的早产

Ghamar Bitar1, Wei Liu2, Jade Tunguhan2

  • 1Department of Obstetrics and Gynecology, Christiana Care Health System, Newark, Delaware.

American journal of perinatology
|December 4, 2023
PubMed
概括

机器学习模型可以使用临床,人口和实验室数据以中等准确度预测早产. 关键预测因素包括多重怀孕,先前的早产和紧急访问.

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相关概念视频

Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis: