Home ›
Entities
› academia
› Traditional Machine Learning, Deep Learning, and BERT (Large Language Model) Approaches for Predicting Hospitalizations From Nurse Triage Notes: Comparative Evaluation of Resource Management
Traditional Machine Learning, Deep Learning, and BERT (Large Language Model) Approaches for Predicting Hospitalizations From Nurse Triage Notes: Comparative Evaluation of Resource Management
Research article (JMIR AI, 2024) · cited 16× · AI/ML
Traditional Machine Learning, Deep Learning, and BERT (Large Language Model) Approaches for Predicting Hospitalizations From Nurse Triage Notes: Comparative Evaluation of Resource Management
Summary
Traditional Machine Learning, Deep Learning, and BERT (Large Language Model) Approaches for Predicting Hospitalizations From Nurse Triage Notes: Comparative Evaluation of Resource Management is a scholarly article[1].
Key Facts
Traditional Machine Learning, Deep Learning, and BERT (Large Language Model) Approaches for Predicting Hospitalizations From Nurse Triage Notes: Comparative Evaluation of Resource Management's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Traditional Machine Learning, Deep Learning, and BERT (Large Language Model) Approaches for Predicting Hospitalizations From Nurse Triage Notes: Comparative Evaluation of Resource Management. Retrieved May 24, 2026, from https://4ort.xyz/entity/traditional-machine-learning-deep-learning-and-bert-large-language-model-approaches-for-predicting-hospitalizations-from
MLA“Traditional Machine Learning, Deep Learning, and BERT (Large Language Model) Approaches for Predicting Hospitalizations From Nurse Triage Notes: Comparative Evaluation of Resource Management.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/traditional-machine-learning-deep-learning-and-bert-large-language-model-approaches-for-predicting-hospitalizations-from.
BibTeX@misc{4ortxyz_traditional-machine-learning-deep-learning-and-bert-large-language-model-approaches-for-predicting-hospitalizations-from_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Traditional Machine Learning, Deep Learning, and BERT (Large Language Model) Approaches for Predicting Hospitalizations From Nurse Triage Notes: Comparative Evaluation of Resource Management}}, year = {2026}, url = {https://4ort.xyz/entity/traditional-machine-learning-deep-learning-and-bert-large-language-model-approaches-for-predicting-hospitalizations-from}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Traditional Machine Learning, Deep Learning, and BERT (Large Language Model) Approaches for Predicting Hospitalizations From Nurse Triage Notes: Comparative Evaluation of Resource Management — https://4ort.xyz/entity/traditional-machine-learning-deep-learning-and-bert-large-language-model-approaches-for-predicting-hospitalizations-from (retrieved 2026-05-24)
