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Word2vec Word Embedding-Based Artificial Intelligence Model in the Triage of Patients with Suspected Diagnosis of Major Ischemic Stroke: A Feasibility Study.

Antonio DesaiAurora ZumboMauro GiordanoPierandrea MorandiniMaria Elena LainoElena AzzoliniAndrea FabbriSimona MarcheselliAlice Giotta LuciferoSabino LuzziAntonio Voza
Published in: International journal of environmental research and public health (2022)
Natural language processing (NLP)-based models in triage have the potential to improve the early detection of MIS and to actively support the clinical staff.
Keyphrases
  • artificial intelligence
  • emergency department
  • machine learning
  • big data
  • deep learning
  • autism spectrum disorder
  • atrial fibrillation