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利用生成式平衡提升医疗机器学习模型:迈向公平卓越医疗新征程
为解决医疗机器学习中数据集不平衡和模型偏差问题,美国伊利诺伊大学厄巴纳 - 香槟分校的研究人员开展 FairPlay 方法研究。结果显示该方法能提升模型性能与公平性。推荐科研读者阅读,探索医疗 AI 新突破。 美国伊利诺伊大学厄巴纳 - 香槟分校(University of ...
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