:西

Naiara Perez1, Montse Cuadros2, German Rigau3

  • 1SNLT group at Vicomtech Foundation, Basque Research and Technology Alliance (BRTA), Mikeletegi Pasealekua 57, Donostia/San Sebastián, 20009, Spain; HiTZ Basque Center for Language Technologies, University of the Basque Country (UPV-EHU), Manuel Lardizabal Ibilbidea 1, Donostia/San Sebastián, 20018, Spain.

概括

这项研究通过使用自然语言处理 (NLP) 的深度学习来增强医疗保健数据分析. 变压器模型有效地处理临床文本中的否定和猜测,改善了健康记录中的模式发现.

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