机器学习模型在心血管疾病中的应用

作者

  • 蒋 子悠 北京工商大学,计算机与人工智能学院,北京 100048 作者

DOI:

https://doi.org/10.52810/JIR.2024.003

关键词:

人工智能, 深度学习, 机器学习, 心血管疾病

摘要

随着当今社会带给人们的高强度工作生活压力,心血管疾病问题的日益严峻,发病率逐年增加,全球对此类疾病的关注与日俱增。传统的预测方法虽有一定预测能力,但是特异性较低,而机器学习和深度学习技术在为心血管疾病的高效预测和设计提供了新的解决方案。本文综述了机器学习和深度学习在心血管疾病预测中的应用,从心血管疾病问题现状引出对其预测的重要性,介绍了其遭遇的挑战,以及预测模型的优势性能评估。尽管面临诸多挑战,机器学习模型在预测心血管疾病研究中的应用仍具有巨大潜力,有望为降低心血管疾病发病率提供新的支持策略。

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作者简历

  • 作者
    蒋子悠  现就读于北京工商大学计算机与人工智能学院软件工程工程专业。

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机器学习模型在心血管疾病中的应用

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已出版

2024-05-07

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引用本文

子悠蒋. (2024). 机器学习模型在心血管疾病中的应用. 智能机器人, 1(1), 26-38. https://doi.org/10.52810/JIR.2024.003