Advances in the application of machine learning in hemodialysis treatment

doi:10.3760/cma.j.issn.1007-1245.2023.13.001

International Medicine and Health Guidance News ›› 2023, Vol. 29 ›› Issue (13): 1777-1781.DOI: 10.3760/cma.j.issn.1007-1245.2023.13.001

• New Medical Advances • Next Articles

Advances in the application of machine learning in hemodialysis treatment

Zhou Hongming¹, Li Yunyi¹, Li Weilong², Song Zhuoheng², Chen Yu¹, Cao Rui¹, Hu Bo¹, Luan Shaodong², Yin Lianghong¹

¹Department of Nephrology, The First Affiliated Hospital of Jinan University, Guangzhou 510630, China; ²Department of Nephrology, Shenzhen Longhua District Central Hospital, Shenzhen 518110, China

Received:2023-04-04 Online:2023-07-01 Published:2023-07-21
Contact: Yin Lianghong, Email: yin-yun@126.com
Supported by:
Guangdong Engineering Technology Research Center (507204531040); Leading Talents in Entrepreneurship in Guangzhou Development Zone (2017-l153); High-end Foreign Expert Introduction Program (G2022199014L)

机器学习在血液透析治疗中的应用进展

周鸿明¹ 李云逸¹ 李伟龙² 宋卓恒² 陈宇¹ 曹锐¹ 胡波¹ 栾韶东² 尹良红¹

¹暨南大学附属第一医院肾内科，广州　510630；²深圳市龙华区中心医院肾内科，深圳　518110

通讯作者: 尹良红，Email：yin-yun@126.com
基金资助:
广东省工程技术研究中心（507204531040）；广州开发区创业领军人才（2017-l153）；高端外国专家引进计划（G2022199014L）

Abstract

Abstract:

Hemodialysis centers are mostly for patients with chronic kidney disease, and most patients choose hemodialysis for treatment. But hemodialysis also imposes a burden of expensive medical costs and adverse reactions on patients. With the development of machine learning, machine learning has shown satisfactory results in vascular access, complications, and prognosis of hemodialysis. Therefore, grasping machine learning and using this tool are beneficial to doctors and nurses in hemodialysis room, which can ultimately improve the quality of life in hemodialysis patients.

Key words:

Machine learning, Hemodialysis, Chronic kidney disease, Progress

摘要：

血透中心大部分是慢性肾脏病患者，而大部分透析患者会选择血液透析进行治疗，但血液透析也给患者带来了昂贵的医疗费用和不良反应的负担。随着机器学习的发展，机器学习在血液透析血管通路、并发症、预后上展现出了令人满意的结果。因此，掌握机器学习，并利用这个工具，对血透室的医生和护士是有益的，还可改善血液透析患者的生存质量。

关键词:

机器学习, 血液透析, 慢性肾脏病, 进展

Zhou Hongming, Li Yunyi, Li Weilong, Song Zhuoheng, Chen Yu, Cao Rui, Hu Bo, Luan Shaodong, Yin Lianghong.

Advances in the application of machine learning in hemodialysis treatment [J]. International Medicine and Health Guidance News, 2023, 29(13): 1777-1781.

周鸿明李云逸李伟龙宋卓恒陈宇曹锐胡波栾韶东尹良红.

机器学习在血液透析治疗中的应用进展 [J]. 国际医药卫生导报, 2023, 29(13): 1777-1781.

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Advances in the application of machine learning in hemodialysis treatment

机器学习在血液透析治疗中的应用进展

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