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会议简介：克服精准医疗中的健康差距。

Q2 Computer Science
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Pub Date : 2024-01-01
Francisco M De La Vega, Kathleen C Barnes, Keolu Fox, Alexander Ioannidis, Eimear Kenny, Rasika A Mathias, Bogdan Pasaniuc
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引用次数: 0

摘要

包括以下部分：概述处理当前研究数据集缺乏多样性的问题开发公平的机器学习算法种族、遗传祖先和种群结构结论致谢。
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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Session Introduction: Overcoming health disparities in precision medicine.

The following sections are included:OverviewDealing with the lack of diversity in current research datasetsDevelopment of fair machine learning algorithmsRace, genetic ancestry, and population structureConclusionAcknowledgments.

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来源期刊
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Medicine-Medicine (all)
CiteScore
4.50
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0.00%
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