Text mining approach to predict hospital admissions using early medical records from the emergency department

Research article (International Journal of Medical Informatics, 2017) · cited 144× · AI/ML
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Text mining approach to predict hospital admissions using early medical records from the emergency department

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Text mining approach to predict hospital admissions using early medical records from the emergency department is a scholarly article[1].

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  • Text mining approach to predict hospital admissions using early medical records from the emergency department's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Text mining approach to predict hospital admissions using early medical records from the emergency department. Retrieved May 24, 2026, from https://4ort.xyz/entity/text-mining-approach-to-predict-hospital-admissions-using-early-medical-records-from-the-emergency-department
MLA “Text mining approach to predict hospital admissions using early medical records from the emergency department.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/text-mining-approach-to-predict-hospital-admissions-using-early-medical-records-from-the-emergency-department.
BibTeX @misc{4ortxyz_text-mining-approach-to-predict-hospital-admissions-using-early-medical-records-from-the-emergency-department_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Text mining approach to predict hospital admissions using early medical records from the emergency department}}, year = {2026}, url = {https://4ort.xyz/entity/text-mining-approach-to-predict-hospital-admissions-using-early-medical-records-from-the-emergency-department}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Text mining approach to predict hospital admissions using early medical records from the emergency department — https://4ort.xyz/entity/text-mining-approach-to-predict-hospital-admissions-using-early-medical-records-from-the-emergency-department (retrieved 2026-05-24)

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