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引用次数: 1

摘要

慢性病极大地影响了患者的生活,并产生了大量的医疗费用。医学治疗应个性化,以考虑个体差异。在这项研究中,我们通过制定两个预测问题,向慢性肾脏疾病的个性化治疗迈出了第一步。我们利用随机森林来学习预测模型,初步的结果是有希望的。
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Toward Personalized Treatment of Chronic Diseases: The CKDCase Study
Chronic diseases greatly influence the patients' life and incur the bulk of healthcare costs. Medical treatments should be personalized to consider individual variance. In this study, we take a first step toward personalized treatment of chronic kidney disease by formulating two prediction problems. We utilize random forest to learn the prediction models, and the preliminary results look promising.
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