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Machine Learning in Clinical Text Classification: Specialty..:

, In: 2022 13th International Conference on Information and Communication Technology Convergence (ICTC),

Tan, Chloe ; Talreja, Kunal ; Shivam, Annika... - p. 1366-1370 , 2022

Link: https://doi.org/10.1109/ICTC55196.2022.9952512

RT 
T1 <cTitle>2022 13th International Conference on Information and Communication Technology Convergence (ICTC)</cTitle>: T1 <Title>Machine Learning in Clinical Text Classification: Specialty Identification and COVID-19 Risk</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-9952512&Exemplar=1&LAN=DE
				
A1 Tan, Chloe
A1 Talreja, Kunal
A1 Shivam, Annika
A1 Nag, Arpon
A1 Miranda, Myra
A1 Raghav, Samskrith
A1 Rajaram, Arjun
A1 Lutz, Michael
A1 Kumar, Saurav
A1 Kumar, Amisha
YR 2022
SN 2162-1241
K1 COVID-19
K1 Vocabulary
K1 Machine learning algorithms
K1 Text categorization
K1 Medical services
K1 Machine learning
K1 Predictive models
K1 appropriate specialist
K1 transcript
K1 algorithm-based solution
K1 credible
K1 data-driven
K1 text transcript
K1 educated decision
K1 healthcare
K1 symptoms
K1 patient needs
K1 examining
K1 identical symptoms
SP 1366
OP 1370
LK http://dx.doi.org/https://doi.org/10.1109/ICTC55196.2022.9952512
DO https://doi.org/10.1109/ICTC55196.2022.9952512
SF ELIB - SuUB Bremen

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