Machine learning model for predicting physical activity related bleeding risk in Chinese boys with haemophilia A-Reference-Cited by-同舟云学术

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Machine learning model for predicting physical activity related bleeding risk in Chinese boys with haemophilia A

Published:2023-12 Issue: Volume:232 Page:43-53
ISSN:0049-3848
Container-title:Thrombosis Research
language:en
Short-container-title:Thrombosis Research

Author:

Ai Di,Cui Chang,Tang Yongqiang,Wang Yan,Zhang Ningning,Zhang Chenyang,Zhen Yingzi,Li Gang,Huang Kun,Liu Guoqing,Chen Zhenping,Zhang Wensheng,Wu Runhui

Funder

Beijing Municipal Science and Technology Commission

Publisher

Elsevier BV

Subject

Hematology

Reference34 articles.

1. WFH guidelines for the management of hemophilia;Srivastava,2020

2. Physical activity and its related factors in Japanese people with haemophilia;Goto;Haemophilia,2019

3. Physical activity participation and bleeding characteristics in young patients with severe haemophilia;Tiktinsky;Haemophilia,2009

4. Comparison of physical activity and sedentary behaviours between young haemophilia A patients and healthy adolescents;González;Haemophilia,2011

5. Correlation between phenotype and genotype in a large unselected cohort of children with severe hemophilia A;Carcao;Blood,2013

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimizing long-term joint health in the treatment of hemophilia;Expert Review of Hematology;2024-09-08

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