Automatic text classification of actionable radiology reports of tinnitus patients using bidirectional encoder representations from transformer (BERT) and in-domain pre-training (IDPT)

Research article (BMC Medical Informatics and Decision Making, 2022) · cited 26× · AI/ML
Press Enter · cited answer in seconds

Automatic text classification of actionable radiology reports of tinnitus patients using bidirectional encoder representations from transformer (BERT) and in-domain pre-training (IDPT)

Summary

Automatic text classification of actionable radiology reports of tinnitus patients using bidirectional encoder representations from transformer (BERT) and in-domain pre-training (IDPT) is a scholarly article[1].

Key Facts

  • Automatic text classification of actionable radiology reports of tinnitus patients using bidirectional encoder representations from transformer (BERT) and in-domain pre-training (IDPT)'s instance of is recorded as scholarly article[2].

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). Automatic text classification of actionable radiology reports of tinnitus patients using bidirectional encoder representations from transformer (BERT) and in-domain pre-training (IDPT). Retrieved May 24, 2026, from https://4ort.xyz/entity/automatic-text-classification-of-actionable-radiology-reports-of-tinnitus-patients-using-bidirectional-encoder-represent
MLA “Automatic text classification of actionable radiology reports of tinnitus patients using bidirectional encoder representations from transformer (BERT) and in-domain pre-training (IDPT).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automatic-text-classification-of-actionable-radiology-reports-of-tinnitus-patients-using-bidirectional-encoder-represent.
BibTeX @misc{4ortxyz_automatic-text-classification-of-actionable-radiology-reports-of-tinnitus-patients-using-bidirectional-encoder-represent_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automatic text classification of actionable radiology reports of tinnitus patients using bidirectional encoder representations from transformer (BERT) and in-domain pre-training (IDPT)}}, year = {2026}, url = {https://4ort.xyz/entity/automatic-text-classification-of-actionable-radiology-reports-of-tinnitus-patients-using-bidirectional-encoder-represent}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automatic text classification of actionable radiology reports of tinnitus patients using bidirectional encoder representations from transformer (BERT) and in-domain pre-training (IDPT) — https://4ort.xyz/entity/automatic-text-classification-of-actionable-radiology-reports-of-tinnitus-patients-using-bidirectional-encoder-represent (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/automatic-text-classification-of-actionable-radiology-reports-of-tinnitus-patients-using-bidirectional-encoder-represent · Last refreshed: