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Can Unified Medical Language System–based semantic representation improve automated identification of patient safety incident reports by type and severity?
Research article (Journal of the American Medical Informatics Association, 2020) · cited 12× · AI/ML
Can Unified Medical Language System–based semantic representation improve automated identification of patient safety incident reports by type and severity?
Summary
Can Unified Medical Language System–based semantic representation improve automated identification of patient safety incident reports by type and severity? is a scholarly article[1].
Key Facts
Can Unified Medical Language System–based semantic representation improve automated identification of patient safety incident reports by type and severity?'s instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Can Unified Medical Language System–based semantic representation improve automated identification of patient safety incident reports by type and severity?. Retrieved May 24, 2026, from https://4ort.xyz/entity/can-unified-medical-language-systembased-semantic-representation-improve-automated-identification-of-patient-safety-inci
MLA“Can Unified Medical Language System–based semantic representation improve automated identification of patient safety incident reports by type and severity?.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/can-unified-medical-language-systembased-semantic-representation-improve-automated-identification-of-patient-safety-inci.
BibTeX@misc{4ortxyz_can-unified-medical-language-systembased-semantic-representation-improve-automated-identification-of-patient-safety-inci_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Can Unified Medical Language System–based semantic representation improve automated identification of patient safety incident reports by type and severity?}}, year = {2026}, url = {https://4ort.xyz/entity/can-unified-medical-language-systembased-semantic-representation-improve-automated-identification-of-patient-safety-inci}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Can Unified Medical Language System–based semantic representation improve automated identification of patient safety incident reports by type and severity? — https://4ort.xyz/entity/can-unified-medical-language-systembased-semantic-representation-improve-automated-identification-of-patient-safety-inci (retrieved 2026-05-24)
