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  Advancing intrauterine adhesion severity prediction: Integrative machine learning approach with hysteroscopic cold knife system, clinical characteristics and hematological parameters
 
 
Title: Advancing intrauterine adhesion severity prediction: Integrative machine learning approach with hysteroscopic cold knife system, clinical characteristics and hematological parameters
Author: Yang, Jie
zheng, Xiaodong
Pan, Jiajia
Chen, Yumei
Chen, Cong
Huang, Zhiqiong
Appeared in: Computers in biology and medicine
Paging: Volume 177 () nr. C pages p.
Year: 2024
Contents:
Publisher: Published by Elsevier B.V.
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 5 of 60 found articles
 
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 Koninklijke Bibliotheek - National Library of the Netherlands