使用机器学习模型预测乳腺癌

International Conference on Mechatronics Engineering and Artificial Intelligence Pub Date : 2023-02-28 DOI:10.1117/12.2672652

Zhiqi Li, Shirui Tian, Tain Ya, Zhenning Yang

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引用次数: 1

摘要

本文旨在通过引用数据预测乳腺癌患者是否存在复发。作为第一步，我们将从互联网上收集乳腺癌患者的相关数据。接下来，我们将使用Scikit-learn中的决策树来确定已经治愈的乳腺癌患者是否会复发。通过一系列的计算和预测，我们的实验模型的精度最终达到0.75的精度。这些数据可以帮助我们很好地完成目标预测。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Breast cancer prediction using machine learning models

This paper is to predict the presence of recurrence for breast cancer patients by citing data. As a first step we will collect relevant data on breast cancer patients from the internet. Next, we will use decision trees in Scikit-learn to determine if there will be a recurrence of breast cancer in patients who have been cured. Through a series of calculations and predictions, the accuracy of our experimental model finally reaches 0.75 accuracy. These data can help us to accomplish our target prediction well.

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International Conference on Mechatronics Engineering and Artificial Intelligence

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