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1 Ergebnisse
1
Predicting Liver Utilization Rate and Post- Transplant Outc..:
, In:
2022 Systems and Information Engineering Design Symposium (SIEDS)
,
Bell, Kristy
;
Hennessy, Madeline
;
Henry, Michael
. - p. 288-293 , 2022
Link:
https://doi.org/10.1109/SIEDS55548.2022.9799424
RT T1
2022 Systems and Information Engineering Design Symposium (SIEDS)
: T1
Predicting Liver Utilization Rate and Post- Transplant Outcomes from Donor Text Narratives with Natural Language Processing
UL https://suche.suub.uni-bremen.de/peid=ieee-9799424&Exemplar=1&LAN=DE A1 Bell, Kristy A1 Hennessy, Madeline A1 Henry, Michael A1 Malik, Avni YR 2022 K1 Drugs K1 Soft sensors K1 Decision making K1 Liver K1 Predictive models K1 Brain modeling K1 Prediction algorithms K1 Natural Language Processing (NLP) K1 Electronic Health Records (EHR) K1 text analytics K1 liver transplantation SP 288 OP 293 LK http://dx.doi.org/https://doi.org/10.1109/SIEDS55548.2022.9799424 DO https://doi.org/10.1109/SIEDS55548.2022.9799424 SF ELIB - SuUB Bremen
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