Interpretable machine learning for highdimensional trajectories of aging health

Spencer Farrell; Arnold Mitnitski; Kenneth Rockwood; Andrew D. Rutenberg

doi:10.1371/journal.pcbi.1009746

Interpretable machine learning for highdimensional trajectories of aging health

Spencer Farrell, Arnold Mitnitski, Kenneth Rockwood, Andrew D. Rutenberg

科研成果: 期刊稿件 › 文章 › 同行评审

源语言	英语
文章编号	e1009746
期刊	PLoS Computational Biology
卷	18
期	1
DOI	https://doi.org/10.1371/journal.pcbi.1009746
出版状态	已出版 - 1月 2022

!!!ASJC Scopus Subject Areas

生态学、进化论、行为学与系统学
建模与模拟
生态学
分子生物学
遗传学
细胞和分子神经科学
计算理论与数学

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10.1371/journal.pcbi.1009746

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Interpretable machine learning for highdimensional trajectories of aging health

!!!ASJC Scopus Subject Areas

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