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Deep learning for named entity recognition on Chinese electronic medical records: Combining deep transfer learning with multitask bi-directional LSTM RNN
Research article (PLoS ONE, 2019) · cited 45× · AI/ML
Deep learning for named entity recognition on Chinese electronic medical records: Combining deep transfer learning with multitask bi-directional LSTM RNN
Summary
Deep learning for named entity recognition on Chinese electronic medical records: Combining deep transfer learning with multitask bi-directional LSTM RNN is a scholarly article[1].
Key Facts
Deep learning for named entity recognition on Chinese electronic medical records: Combining deep transfer learning with multitask bi-directional LSTM RNN's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Deep learning for named entity recognition on Chinese electronic medical records: Combining deep transfer learning with multitask bi-directional LSTM RNN. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-for-named-entity-recognition-on-chinese-electronic-medical-records-combining-deep-transfer-learning-with-m
MLA“Deep learning for named entity recognition on Chinese electronic medical records: Combining deep transfer learning with multitask bi-directional LSTM RNN.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-for-named-entity-recognition-on-chinese-electronic-medical-records-combining-deep-transfer-learning-with-m.
BibTeX@misc{4ortxyz_deep-learning-for-named-entity-recognition-on-chinese-electronic-medical-records-combining-deep-transfer-learning-with-m_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep learning for named entity recognition on Chinese electronic medical records: Combining deep transfer learning with multitask bi-directional LSTM RNN}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-for-named-entity-recognition-on-chinese-electronic-medical-records-combining-deep-transfer-learning-with-m}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep learning for named entity recognition on Chinese electronic medical records: Combining deep transfer learning with multitask bi-directional LSTM RNN — https://4ort.xyz/entity/deep-learning-for-named-entity-recognition-on-chinese-electronic-medical-records-combining-deep-transfer-learning-with-m (retrieved 2026-05-24)
