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1 Ergebnisse
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Machine learning models for predicting one-year survival in..:
Cheng Zhang
;
Yi Zhang
;
Ya-Hui Yang
...
https://www.frontiersin.org/articles/10.3389/fmolb.2022.937242/full. , 2022
Link:
https://doi.org/10.3389/fmolb.2022.937242
RT Journal T1 <Title>Machine learning models for predicting one-year survival in patients with metastatic gastric cancer who experienced upfront radical gastrectomy</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:e1dcc22af21e4d2cb5319bf5cd7b336c&Exemplar=1&LAN=DE A1 Cheng Zhang A1 Yi Zhang A1 Ya-Hui Yang A1 Hui Xu A1 Xiao-Peng Zhang A1 Zhi-Jun Wu A1 Min-Min Xie A1 Ying Feng A1 Chong Feng A1 Tai Ma PB Frontiers Media S.A. YR 2022 K1 stomach neoplasms K1 neoplasm metastasis K1 survival analysis K1 supervised machine learning K1 electronic medical record K1 clinical laboratory information system K1 Biology (General) K1 QH301-705.5 JF https://www.frontiersin.org/articles/10.3389/fmolb.2022.937242/full LK http://dx.doi.org/https://doi.org/10.3389/fmolb.2022.937242 DO https://doi.org/10.3389/fmolb.2022.937242 SF ELIB - SuUB Bremen
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