机器学习在疾病预测的应用研究进展

doi:10.16460/j.issn1008-9969.2021.07.030

摘要/Abstract

摘要： 目的了解机器学习的基本概念以及在疾病预测中的应用,以期为临床的信息化建设与发展提供参考。方法检索并查阅相关文献,分析总结机器学习的概念以及相关应用的研究。结果疾病预测模型的构建是机器学习常见的应用之一,目前研究多集中于疾病发生风险的预测,预后风险分层的预测,慢性病进展的预测以及治疗效果的预测。结论机器学习由于其强大的数据分析与探索能力,在疾病预测及辅助临床决策方面具有显著的优越性。目前,我国护理学科信息化、智能化的发展尚处于起步阶段,将机器学习技术用于指导临床护理工作的研究较为缺乏。未来应借鉴国外相关研究成果,构建适合我国使用的机器学习预测模型,探索人工智能与护理工作的结合与辅助,并加强信息技术相关人才的培养,是下一步的研究方向。

关键词: 护理信息学, 人工智能, 机器学习, 疾病预测, 综述

中图分类号:

R472

刘雨安, 杨小文, 李乐之. 机器学习在疾病预测的应用研究进展[J]. 护理学报, 2021, 28(7): 30-34.

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