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1 Ergebnisse
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Machine learning models for predicting in-hospital mortalit..:
Chi-Yung Cheng
;
Chia-Te Kung
;
Fu-Cheng Chen
...
https://www.frontiersin.org/articles/10.3389/fmed.2022.964667/full. , 2022
Link:
https://doi.org/10.3389/fmed.2022.964667
RT Journal T1 <Title>Machine learning models for predicting in-hospital mortality in patient with sepsis: Analysis of vital sign dynamics</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:4e651c6a31d7420d96e0ea0947232113&Exemplar=1&LAN=DE A1 Chi-Yung Cheng A1 Chia-Te Kung A1 Fu-Cheng Chen A1 I-Min Chiu A1 Chun-Hung Richard Lin A1 Chun-Chieh Chu A1 Chien Feng Kung A1 Chih-Min Su PB Frontiers Media S.A. YR 2022 K1 sepsis K1 dynamic vital sign K1 mortality K1 prediction model K1 machine learning model K1 Medicine (General) K1 R5-920 JF https://www.frontiersin.org/articles/10.3389/fmed.2022.964667/full LK http://dx.doi.org/https://doi.org/10.3389/fmed.2022.964667 DO https://doi.org/10.3389/fmed.2022.964667 SF ELIB - SuUB Bremen
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