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Schaefferkoetter, N.
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Schaefferkoetter, N.
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Schaefferkoetter, N.
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1
Limitations of Transformers on Clinical Text Classification
by
Alawad, M.
,
Coyle, L.
,
Doherty, J.
,
Durbin, E.B
,
Gao, S.
,
Gounley, J.
,
Schaefferkoetter
,
N
.
,
Stroup, A.
,
Tourassi, G.
,
Wu, X.-C
,
Yoon, H.J
,
Young, M.T
Published 2021
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2
Deep active learning for classifying cancer pathology reports
by
Alawad, M.
,
Coyle, L.
,
De Angeli, K.
,
Doherty, J.
,
Durbin, E.B
,
Gao, S.
,
Penberthy, L.
,
Schaefferkoetter
,
N
.
,
Stroup, A.
,
Tourassi, G.
,
Wu, X.-C
,
Yoon, H.-J
Published 2021
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Related Subjects
Classification (of information)
Convolutional neural networks
Humans
Neural Networks, Computer
Text processing
convolutional neural network
deep learning
histology
human
learning algorithm
machine learning
Active learning
Active learning strategies
Active-learning algorithm
Algorithms
Article
BERT
Cancer pathology reports
Classification tasks
Clinical text classifications
Deep learning
Discharge summary
Diseases
Document Classification
ICD-9
Information retrieval systems
Input sequence
Iterative methods
Large dataset
Learning algorithms
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