[HTML][HTML] A semi-supervised approach for extracting TCM clinical terms based on feature words

L Liu, X Wu, H Liu, X Cao, H Wang, H Zhou… - BMC Medical Informatics …, 2020 - Springer
Background A semi-supervised model is proposed for extracting clinical terms of Traditional
Chinese Medicine using feature words. Methods The extraction model is based on BiLSTM …

A semi-supervised approach for extracting TCM clinical terms based on feature words

L Liu, X Wu, H Liu, X Cao, H Wang… - … and Decision Making, 2020 - search.proquest.com
Background A semi-supervised model is proposed for extracting clinical terms of Traditional
Chinese Medicine using feature words. Methods The extraction model is based on BiLSTM …

A semi-supervised approach for extracting TCM clinical terms based on feature words.

L Liu, X Wu, H Liu, X Cao, H Wang, H Zhou… - BMC Medical Informatics …, 2020 - go.gale.com
Background A semi-supervised model is proposed for extracting clinical terms of Traditional
Chinese Medicine using feature words. Methods The extraction model is based on BiLSTM …

A semi-supervised approach for extracting TCM clinical terms based on feature words.

L Liu, X Wu, H Liu, X Cao, H Wang… - … Medical Informatics and …, 2020 - europepmc.org
Background A semi-supervised model is proposed for extracting clinical terms of Traditional
Chinese Medicine using feature words. Methods The extraction model is based on BiLSTM …

[HTML][HTML] A semi-supervised approach for extracting TCM clinical terms based on feature words

L Liu, X Wu, H Liu, X Cao… - BMC Medical …, 2020 - bmcmedinformdecismak …
A semi-supervised model is proposed for extracting clinical terms of Traditional Chinese
Medicine using feature words. The extraction model is based on BiLSTM-CRF and …

[HTML][HTML] A semi-supervised approach for extracting TCM clinical terms based on feature words

L Liu, X Wu, H Liu, X Cao, H Wang… - … Medical Informatics and …, 2020 - ncbi.nlm.nih.gov
Background A semi-supervised model is proposed for extracting clinical terms of Traditional
Chinese Medicine using feature words. Methods The extraction model is based on BiLSTM …

A semi-supervised approach for extracting TCM clinical terms based on feature words

L Liu, X Wu, H Liu, X Cao, H Wang… - BMC medical …, 2020 - pubmed.ncbi.nlm.nih.gov
Background A semi-supervised model is proposed for extracting clinical terms of Traditional
Chinese Medicine using feature words. Methods The extraction model is based on BiLSTM …

[PDF][PDF] A semi-supervised approach for extracting TCM clinical terms based on feature words

L Liu, X Wu, H Liu, X Cao, H Wang, H Zhou, Q Xie - 2020 - scholar.archive.org
Background: A semi-supervised model is proposed for extracting clinical terms of Traditional
Chinese Medicine using feature words. Methods: The extraction model is based on BiLSTM …

A semi-supervised approach for extracting TCM clinical terms based on feature words.

L Liu, X Wu, H Liu, X Cao, H Wang… - … Medical Informatics and …, 2020 - europepmc.org
Background A semi-supervised model is proposed for extracting clinical terms of Traditional
Chinese Medicine using feature words. Methods The extraction model is based on BiLSTM …

[PDF][PDF] A semi-supervised approach for extracting TCM clinical terms based on feature words

L Liu, X Wu, H Liu, X Cao, H Wang, H Zhou… - 2020 - bmcmedinformdecismak …
Background: A semi-supervised model is proposed for extracting clinical terms of Traditional
Chinese Medicine using feature words. Methods: The extraction model is based on BiLSTM …