Pattern recognition and prognostic analysis of longitudinal blood pressure records in hemodialysis treatment based on a convolutional neural network

Author:

Wang Feng,Wang Yu,Tian Yu,Zhang Ping,Chen Jianghua,Li JingsongORCID

Funder

Major Scientific Project of Zhejiang Lab

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference50 articles.

1. System USRD, Incidence, Prevalence, Patient Characteristics, and Treatment Modalities, 2016 USRDS Annual Data Report, National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD, 2016.

2. System USRD, Incidence, Prevalence, Patient Characteristics, and Treatment Modalities. 2017 USRDS Annual Data Report, National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD, 2017.

3. X. Chen, Precision Therapy and Quality Control of Blood Purification in China. Chinese Society of Nephrology 2016 annual Meeting, Xiamen, 2016.

4. Community hemodialysis in China: opportunities and challenges;Zhou;Chin. Med. J.,2017

5. Intradialytic blood pressure abnormalities: the highs, the lows and all that lies between;Assimon;Am. J. Nephrol.,2015

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