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The parameter range of highest contribution as a prediction..:

Takaya Okawa (11965400) ; Tomohiro Mizuno (3279039) ; Shogo Hanabusa (11965403)...
https://figshare.com/articles/dataset/The_parameter_range_of_highest_contribution_as_a_prediction_factor_of_Cis-AKI_/18645908. , 2022

Link: https://doi.org/10.1371/journal.pone.0262021.t004

RT Journal
T1 <Title>The parameter range of highest contribution as a prediction factor of Cis-AKI</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_18645908&Exemplar=1&LAN=DE
				
A1 Takaya Okawa (11965400)
A1 Tomohiro Mizuno (3279039)
A1 Shogo Hanabusa (11965403)
A1 Takeshi Ikeda (463875)
A1 Fumihiro Mizokami (11965406)
A1 Takenao Koseki (11965409)
A1 Kazuo Takahashi (182663)
A1 Yukio Yuzawa (576198)
A1 Naotake Tsuboi (588829)
A1 Shigeki Yamada (748978)
A1 Yoshitaka Kameya (11965412)
YR 2022
K1 Biochemistry
K1 Cell Biology
K1 Biotechnology
K1 Developmental Biology
K1 Marine Biology
K1 Cancer
K1 Science Policy
K1 Biological Sciences not elsewhere classified
K1 Mathematical Sciences not elsewhere classified
K1 validation data groups
K1 older adults using
K1 machine learning model
K1 aki performed effectively
K1 auc )
K1 accuracy
K1 xlink ">
K1 predictive factor
K1 prediction model
K1 main metrics
K1 49 )
JF https://figshare.com/articles/dataset/The_parameter_range_of_highest_contribution_as_a_prediction_factor_of_Cis-AKI_/18645908
LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0262021.t004
DO https://doi.org/10.1371/journal.pone.0262021.t004
SF ELIB - SuUB Bremen

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