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1 Ergebnisse
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Development and validation of interpretable machine learnin..:
Shim, Soyun
;
Yu, Jae Yong
;
Jekal, Seyong
...
Clinical and Experimental Emergency Medicine. 9 (2022) 4 - p. 345-353 , 2022
Link:
https://doi.org/10.15441/ceem.22.354
RT Journal T1 <Title>Development and validation of interpretable machine learning models for inpatient fall events and electronic medical record integration</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.15441_ceem.22.354&Exemplar=1&LAN=DE A1 Shim, Soyun A1 Yu, Jae Yong A1 Jekal, Seyong A1 Song, Yee Jun A1 Moon, Ki Tae A1 Lee, Ju Hee A1 Yeom, Kyung Mi A1 Park, Sook Hyun A1 Cho, In Sook A1 Song, Mi Ra A1 Heo, Sejin A1 Hong, Jeong Hee PB The Korean Society of Emergency Medicine YR 2022 SN 2383-4625 JF Clinical and Experimental Emergency Medicine VO 9 IS 4 SP 345 OP 353 LK http://dx.doi.org/https://doi.org/10.15441/ceem.22.354 DO https://doi.org/10.15441/ceem.22.354 SF ELIB - SuUB Bremen
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