Development and evaluation of machine learning models for predicting large-for-gestational-age newborns in women exposed to radiation prior to pregnancy.
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%0 Journal Article
%1 journals/midm/BaiZZLLZYZCP24
%A Bai, Xi
%A Zhou, Zhibo
%A Zheng, Zeyan
%A Li, Yansheng
%A Liu, Kejia
%A Zheng, Yuanjun
%A Yang, Hongbo
%A Zhu, Huijuan
%A Chen, Shi
%A Pan, Hui
%D 2024
%J BMC Medical Informatics Decis. Mak.
%K dblp
%N 1
%P 174
%T Development and evaluation of machine learning models for predicting large-for-gestational-age newborns in women exposed to radiation prior to pregnancy.
%U http://dblp.uni-trier.de/db/journals/midm/midm24.html#BaiZZLLZYZCP24
%V 24
@article{journals/midm/BaiZZLLZYZCP24,
added-at = {2024-11-05T00:00:00.000+0100},
author = {Bai, Xi and Zhou, Zhibo and Zheng, Zeyan and Li, Yansheng and Liu, Kejia and Zheng, Yuanjun and Yang, Hongbo and Zhu, Huijuan and Chen, Shi and Pan, Hui},
biburl = {https://www.bibsonomy.org/bibtex/23f6137f429438d75814779913d117891/dblp},
ee = {https://doi.org/10.1186/s12911-024-02556-6},
interhash = {fff335b9d82d90c374b359b090f5fcbe},
intrahash = {3f6137f429438d75814779913d117891},
journal = {BMC Medical Informatics Decis. Mak.},
keywords = {dblp},
month = {December},
number = 1,
pages = 174,
timestamp = {2024-11-11T07:13:58.000+0100},
title = {Development and evaluation of machine learning models for predicting large-for-gestational-age newborns in women exposed to radiation prior to pregnancy.},
url = {http://dblp.uni-trier.de/db/journals/midm/midm24.html#BaiZZLLZYZCP24},
volume = 24,
year = 2024
}
