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1 Ergebnisse
1
Machine Learning Algorithms Identify Clinical Subtypes and ..:
Lijuan Zhao
;
Shuoshan Xie
;
Bin Zhou
...
https://www.frontiersin.org/articles/10.3389/fimmu.2022.802499/full. , 2022
Link:
https://doi.org/10.3389/fimmu.2022.802499
RT Journal T1 <Title>Machine Learning Algorithms Identify Clinical Subtypes and Cancer in Anti-TIF1γ+ Myositis: A Longitudinal Study of 87 Patients</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:3a450f856ffd4403945440e6836573ed&Exemplar=1&LAN=DE A1 Lijuan Zhao A1 Shuoshan Xie A1 Bin Zhou A1 Chuyu Shen A1 Liya Li A1 Weiwei Pi A1 Zhen Gong A1 Jing Zhao A1 Qi Peng A1 Junyu Zhou A1 Jiaqi Peng A1 Yan Zhou A1 Lingxiao Zou A1 Liang Song A1 Honglin Zhu A1 Hui Luo PB Frontiers Media S.A. YR 2022 K1 myositis K1 anti-TIF1γ antibody K1 subtypes K1 prediction K1 machine learning algorithms K1 cancer K1 Immunologic diseases. Allergy K1 RC581-607 JF https://www.frontiersin.org/articles/10.3389/fimmu.2022.802499/full LK http://dx.doi.org/https://doi.org/10.3389/fimmu.2022.802499 DO https://doi.org/10.3389/fimmu.2022.802499 SF ELIB - SuUB Bremen
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