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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Format: | Article |
Language: | zho |
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Chinese General Practice Publishing House Co., Ltd
2022-01-01
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Series: | Zhongguo quanke yixue |
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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. |
first_indexed | 2024-04-24T12:00:04Z |
format | Article |
id | doaj.art-bb0915134bfc4f4eb18017f58e07705d |
institution | Directory Open Access Journal |
issn | 1007-9572 |
language | zho |
last_indexed | 2024-04-24T12:00:04Z |
publishDate | 2022-01-01 |
publisher | Chinese General Practice Publishing House Co., Ltd |
record_format | Article |
series | Zhongguo quanke yixue |
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 |