Achievability to Extract Specific Date Information for Cancer Research

Liwei Wang, Jason Wampfler, Angela Dispenzieri, Hua Xu, Ping Yang, Hongfang Liu

Research output: Contribution to journalArticle

Abstract

Accurate identification of temporal information such as date is crucial for advancing cancer research which often requires precise date information associated with related cancer events. However, there is a gap for existing natural language processing (NLP) systems to identify dates for specific cancer research studies. Illustrated with two case studies, we investigated the feasibility, evaluated the performances and discussed the challenges of date information extraction for cancer research.

Original languageEnglish (US)
Pages (from-to)893-902
Number of pages10
JournalAMIA ... Annual Symposium proceedings. AMIA Symposium
Volume2019
StatePublished - 2019

ASJC Scopus subject areas

  • Medicine(all)

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