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1 Ergebnisse
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Predicting model of mild and severe types of COVID-19 patie..:
Peng An
;
Xiumei Li
;
Ping Qin
...
https://www.aimspress.com/article/doi/10.3934/mbe.2023284?viewType=HTML. , 2023
Link:
https://doi.org/10.3934/mbe.2023284
RT Journal T1 <Title>Predicting model of mild and severe types of COVID-19 patients using Thymus CT radiomics model: A preliminary study</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:86325725b33344219874f93933912649&Exemplar=1&LAN=DE A1 Peng An A1 Xiumei Li A1 Ping Qin A1 YingJian Ye A1 Junyan Zhang A1 Hongyan Guo A1 Peng Duan A1 Zhibing He A1 Mingqun Li A1 Jinsong Wang A1 Yan Hu A1 Guoyan Feng A1 Yong Lin PB AIMS Press YR 2023 K1 covid-19 K1 anorexia K1 diarrhea K1 thymus K1 computed tomography K1 radiomics K1 texture analysis K1 thymic steatosis K1 mild type K1 severe type K1 prediction model K1 Biotechnology K1 TP248.13-248.65 K1 Mathematics K1 QA1-939 JF https://www.aimspress.com/article/doi/10.3934/mbe.2023284?viewType=HTML LK http://dx.doi.org/https://doi.org/10.3934/mbe.2023284 DO https://doi.org/10.3934/mbe.2023284 SF ELIB - SuUB Bremen
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