Research Progress of Machine Learning in
Clinical Drug Therapy

doi:10.12114/j.issn.1007-9572.2021.01.309

Abstract

Abstract:

With the advancement and development of concepts such as real-world research and precision treatment, the demand of researchers for medical big data processing keeps increasing. Because machine learning technology has unique advantages in processing massive, high-dimensional data and conducting predictive research, it has been deeply applied in the medical field in recent years. In addition to the application in disease diagnosis, image recognition and risk prediction, more and more studies have proved that machine learning can be applied to the decision support related research of clinical drug treatment. This article reviews the research progress of machine learning in clinical drug therapy.

Key words: Machine learning, Clinical drug therapy, Real world research, Accurate treatment, Review

摘要：

随着真实世界研究、精准治疗等概念的提出和发展，科研工作者对医疗大数据处理的需求不断增大。机器学习技术因在处理海量、高维数据及开展预测研究等方面具有独特优势，故而近些年在医学领域的应用不断深入。除应用于疾病诊断、影像识别和风险预测外，越来越多的研究证明机器学习可被应用于临床药物治疗的决策支持相关研究中。本文就机器学习在临床药物治疗中的研究进展予以综述。

关键词: 机器学习, 临床药物治疗, 真实世界研究, 精准治疗, 综述

CLC Number:

R319

WU Xingwei, LIU Xinyu, LONG Enwu, TONG Rongsheng.

Research Progress of Machine Learning in Clinical Drug Therapy [J]. Chinese General Practice, 2022, 25(02): 254-258.

吴行伟,刘馨宇,龙恩武等. 机器学习在临床药物治疗中的研究进展[J]. 中国全科医学, 2022, 25(02): 254-258. DOI: 10.12114/j.issn.1007-9572.2021.01.309.

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Research Progress of Machine Learning in Clinical Drug Therapy

机器学习在临床药物治疗中的研究进展

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