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Updated: May 20, 2025

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通过机器学习模型进行可解释疾病预测的高维生物标志物识别.

Yifan Dai1, Di Wu1,2, Ian Carroll3

  • 1Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.

Bioinformatics (Oxford, England)
|April 26, 2025
PubMed
概括

我们开发了一个新的框架,HiFIT,以识别复杂疾病的重要omix生物标志物. 这种方法通过有效地分析高维数据来改善疾病理解和精准医学.

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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:
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