Research Progress of Machine Learning in Clinical Drug Therapy

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 pred...

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Main Author: WU Xingwei, LIU Xinyu, LONG Enwu, TONG Rongsheng
Format: Article
Language:zho
Published: Chinese General Practice Publishing House Co., Ltd 2022-01-01
Series:Zhongguo quanke yixue
Subjects:
Online Access:https://www.chinagp.net/fileup/1007-9572/PDF/1640773038377-91310157.pdf
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author WU Xingwei, LIU Xinyu, LONG Enwu, TONG Rongsheng
author_facet WU Xingwei, LIU Xinyu, LONG Enwu, TONG Rongsheng
author_sort WU Xingwei, LIU Xinyu, LONG Enwu, TONG Rongsheng
collection DOAJ
description 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.
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spelling doaj.art-bb0915134bfc4f4eb18017f58e07705d2024-04-09T02:47:57ZzhoChinese General Practice Publishing House Co., LtdZhongguo quanke yixue1007-95722022-01-01250225425810.12114/j.issn.1007-9572.2021.01.309Research Progress of Machine Learning in Clinical Drug TherapyWU Xingwei, LIU Xinyu, LONG Enwu, TONG Rongsheng0 1.Department of Pharmacy,Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital,Chengdu 610072,China 2.Personalized Drug Therapy Key Laboratory of Sichuan Province,School of Medicine,University of Electronic Science and Technology of China,Chengdu 610072,China *Corresponding author:TONG Rongsheng,Professor,Chief pharmacist;E-mail:2207132448@qq.com 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.https://www.chinagp.net/fileup/1007-9572/PDF/1640773038377-91310157.pdf|machine learning|clinical drug therapy|real world research|accurate treatment|review
spellingShingle WU Xingwei, LIU Xinyu, LONG Enwu, TONG Rongsheng
Research Progress of Machine Learning in Clinical Drug Therapy
Zhongguo quanke yixue
|machine learning|clinical drug therapy|real world research|accurate treatment|review
title Research Progress of Machine Learning in Clinical Drug Therapy
title_full Research Progress of Machine Learning in Clinical Drug Therapy
title_fullStr Research Progress of Machine Learning in Clinical Drug Therapy
title_full_unstemmed Research Progress of Machine Learning in Clinical Drug Therapy
title_short Research Progress of Machine Learning in Clinical Drug Therapy
title_sort research progress of machine learning in clinical drug therapy
topic |machine learning|clinical drug therapy|real world research|accurate treatment|review
url https://www.chinagp.net/fileup/1007-9572/PDF/1640773038377-91310157.pdf
work_keys_str_mv AT wuxingweiliuxinyulongenwutongrongsheng researchprogressofmachinelearninginclinicaldrugtherapy